{"id":5630,"date":"2026-05-26T11:19:56","date_gmt":"2026-05-26T11:19:56","guid":{"rendered":"https:\/\/suprmind.ai\/hub\/ki-mit-der-niedrigsten-halluzinationsrate\/"},"modified":"2026-10-06T18:46:27","modified_gmt":"2026-10-06T18:46:27","slug":"ki-mit-der-niedrigsten-halluzinationsrate","status":"publish","type":"page","link":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/","title":{"rendered":"KI mit der niedrigsten Halluzinationsrate"},"content":{"rendered":"<div class=\"suprmind-pricing-page\">\n\n    <style>\n    \/* Hero reading order.\n       Desktop (>=980px) is a 2-col grid, so the champion card already sits beside the H1.\n       Below 980px the hero stacks and the card is promoted into the flex flow so it lands\n       directly after the H1 + subhead. *\/\n    @media (max-width: 979px){\n      .suprmind-pricing-page .pricing-hero--split{\n        display: flex;\n        flex-direction: column;\n        align-items: center;\n      }\n      .suprmind-pricing-page .pricing-hero--split > .pricing-hero__content{ display: contents; }\n      .suprmind-pricing-page .pricing-hero--split .pricing-label{ order: 1; }\n      .suprmind-pricing-page .pricing-hero--split h1{ order: 2; }\n      .suprmind-pricing-page .pricing-hero--split .subtitle{ order: 3; }\n      .suprmind-pricing-page .pricing-hero--split > .pricing-hero__demo{ order: 4; }\n      .suprmind-pricing-page .pricing-hero--split .hero-byline{ order: 5; }\n      .suprmind-pricing-page .pricing-hero--split .hero-models-bar{ order: 6; }\n      .suprmind-pricing-page .pricing-hero--split .hero-cta-group{ order: 7; }\n    }\n    .suprmind-pricing-page .hero-byline{\n      font-size: 13.5px;\n      line-height: 1.6;\n      color: #9ca3af;\n      margin: 14px 0 26px 0;\n    }\n    .suprmind-pricing-page .hero-byline a{\n      color: #c4b5fd;\n      text-decoration: underline;\n      text-underline-offset: 2px;\n    }\n    <\/style>\n\n    <div class=\"pricing-hero pricing-hero--split\" style=\"margin-top: 60px;\">\n     <div class=\"pricing-hero__content\">\n     <span class=\"pricing-label\" style=\"font-size:12px;\">F\u00fcr Arbeit, bei der eine selbstsicher falsche Antwort Geld kostet.<\/span>\n     <h1>Die KI mit der niedrigsten Halluzinationsrate ist eine Plattform, kein Modell.<\/h1>\n\n     <p class=\"subtitle\">Jedes f\u00fchrende KI-Modell erfindet Dinge \u2013 und keines warnt Sie, wenn es passiert. Suprmind l\u00e4sst f\u00fcnf davon in einem Gespr\u00e4ch arbeiten, in dem jedes die Antworten der anderen liest und benennt, was nicht standh\u00e4lt.<\/p>\n<br>\n <p class=\"subtitle\">Rutscht trotzdem ein Fehler durch, f\u00e4ngt ihn ein unabh\u00e4ngiger Pr\u00fcfer ab und korrigiert ihn, bevor er in Ihrem Dokument landet.<\/p>\n\n         <ul class=\"hero-models-bar\" aria-label=\"Enthaltene f\u00fchrende KI-Modelle\">\n             <li class=\"hero-model-pill hero-model-pill-grok\">\n                 <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"currentColor\" fill-rule=\"evenodd\" aria-hidden=\"true\"><path d=\"M9.27 15.29l7.978-5.897c.391-.29.95-.177 1.137.272.98 2.369.542 5.215-1.41 7.169-1.951 1.954-4.667 2.382-7.149 1.406l-2.711 1.257c3.889 2.661 8.611 2.003 11.562-.953 2.341-2.344 3.066-5.539 2.388-8.42l.006.007c-.983-4.232.242-5.924 2.75-9.383.06-.082.12-.164.179-.248l-3.301 3.305v-.01L9.267 15.292M7.623 16.723c-2.792-2.67-2.31-6.801.071-9.184 1.761-1.763 4.647-2.483 7.166-1.425l2.705-1.25a7.808 7.808 0 00-1.829-1A8.975 8.975 0 005.984 5.83c-2.533 2.536-3.33 6.436-1.962 9.764 1.022 2.487-.653 4.246-2.34 6.022-.599.63-1.199 1.259-1.682 1.925l7.62-6.815\"\/><\/svg>\n                 <span>Grok<\/span>\n             <\/li>\n             <li class=\"hero-model-pill hero-model-pill-perplexity\">\n                 <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M22.398 7.09h-2.31V.068l-7.51 6.354V.158h-1.156v6.196L4.49 0v7.09H1.602v10.397H4.49V24l6.933-6.36v6.201h1.155v-6.047l6.932 6.181v-6.488h2.888zm-3.466-4.531v4.53h-5.355zm-13.286.067l4.869 4.464h-4.87zM2.758 16.332V8.245h7.847L4.49 14.36v1.972zm2.888 5.04v-6.534l5.776-5.776v7.011zm12.708.025l-5.776-5.15V9.061l5.776 5.776zm2.889-5.065H19.51V14.36l-6.115-6.115h7.848z\"\/><\/svg>\n                 <span>Perplexity<\/span>\n             <\/li>\n             <li class=\"hero-model-pill hero-model-pill-claude\">\n                 <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M17.304 3.541h-3.672l6.696 16.918H24Zm-10.608 0L0 20.459h3.744l1.37-3.553h7.005l1.369 3.553h3.744L10.536 3.541Zm-.371 10.223L8.616 7.82l2.291 5.945Z\"\/><\/svg>\n                 <span>Claude<\/span>\n             <\/li>\n             <li class=\"hero-model-pill hero-model-pill-chatgpt\">\n                 <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M22.282 9.821a6 6 0 0 0-.516-4.91a6.05 6.05 0 0 0-6.51-2.9A6.065 6.065 0 0 0 4.981 4.18a6 6 0 0 0-3.998 2.9a6.05 6.05 0 0 0 .743 7.097a5.98 5.98 0 0 0 .51 4.911a6.05 6.05 0 0 0 6.515 2.9A6 6 0 0 0 13.26 24a6.06 6.06 0 0 0 5.772-4.206a6 6 0 0 0 3.997-2.9a6.06 6.06 0 0 0-.747-7.073M13.26 22.43a4.48 4.48 0 0 1-2.876-1.04l.141-.081l4.779-2.758a.8.8 0 0 0 .392-.681v-6.737l2.02 1.168a.07.07 0 0 1 .038.052v5.583a4.504 4.504 0 0 1-4.494 4.494M3.6 18.304a4.47 4.47 0 0 1-.535-3.014l.142.085l4.783 2.759a.77.77 0 0 0 .78 0l5.843-3.369v2.332a.08.08 0 0 1-.033.062L9.74 19.95a4.5 4.5 0 0 1-6.14-1.646M2.34 7.896a4.5 4.5 0 0 1 2.366-1.973V11.6a.77.77 0 0 0 .388.677l5.815 3.354l-2.02 1.168a.08.08 0 0 1-.071 0l-4.83-2.786A4.504 4.504 0 0 1 2.34 7.872zm16.597 3.855l-5.833-3.387L15.119 7.2a.08.08 0 0 1 .071 0l4.83 2.791a4.494 4.494 0 0 1-.676 8.105v-5.678a.79.79 0 0 0-.407-.667m2.01-3.023l-.141-.085l-4.774-2.782a.78.78 0 0 0-.785 0L9.409 9.23V6.897a.07.07 0 0 1 .028-.061l4.83-2.787a4.5 4.5 0 0 1 6.68 4.66zm-12.64 4.135l-2.02-1.164a.08.08 0 0 1-.038-.057V6.075a4.5 4.5 0 0 1 7.375-3.453l-.142.08L8.704 5.46a.8.8 0 0 0-.393.681zm1.097-2.365l2.602-1.5l2.607 1.5v2.999l-2.597 1.5l-2.607-1.5Z\"\/><\/svg>\n                 <span>ChatGPT<\/span>\n             <\/li>\n             <li class=\"hero-model-pill hero-model-pill-gemini\">\n                 <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M11.04 19.32Q12 21.51 12 24q0-2.49.93-4.68q.96-2.19 2.58-3.81t3.81-2.55Q21.51 12 24 12q-2.49 0-4.68-.93a12.3 12.3 0 0 1-3.81-2.58a12.3 12.3 0 0 1-2.58-3.81Q12 2.49 12 0q0 2.49-.96 4.68q-.93 2.19-2.55 3.81a12.3 12.3 0 0 1-3.81 2.58Q2.49 12 0 12q2.49 0 4.68.96q2.19.93 3.81 2.55t2.55 3.81\"\/><\/svg>\n                 <span>Gemini<\/span>\n             <\/li>\n         <\/ul>\n\n         <div class=\"hero-cta-group\" style=\"margin-top: 40px;\">\n             <a href=\"https:\/\/suprmind.ai\/signup\/spark\" class=\"btn-primary\">7 Tage kostenlos testen<\/a>\n         <\/div>\n             <p style=\"font-size: 13.5px; color: #9ca3af;\">Keine Kreditkarte. Alle f\u00fcnf f\u00fchrenden Modelle. Rund zwanzig Sekunden.<\/p>\n     <\/div>\n \n     <div class=\"pricing-hero__demo\">\n <div id=\"sm-saiw\" class=\"sm-saiw\" data-sm-saiw style=\"margin-top: 50px;\">\n\n <script type=\"application\/json\" id=\"sm-saiw-data\">\n {\n   \"verified\": \"2026-09-01\",\n   \"titleSince\": \"2026-02-01\",\n   \"avgReignDaysMin\": 21,\n   \"avgReignDaysMax\": 35,\n   \"champion\": {\n     \"model\": \"Claude Opus 4.1\",\n     \"provider\": \"Anthropic\",\n     \"logo\": \"claude\",\n     \"color\": \"#D97757\",\n     \"score\": \"0%\",\n     \"scoreLabel\": \"AA-Omniscience hallucination rate - lowest of all models\",\n     \"scoreSource\": \"Suprmind hallucination hub\"\n   },\n   \"benchmarks\": [\n     { \"label\": \"AA-Omniscience (hard knowledge)\", \"value\": \"Claude Opus 4.1 - 0%\", \"source\": \"AA-Omniscience\", \"leads\": true, \"note\": \"0 wrong - it refuses when unsure\" },\n     { \"label\": \"HalluHard (realistic chat)\", \"value\": \"Claude Opus 4.5 - 30%\", \"source\": \"HalluHard\", \"leads\": true, \"note\": \"lowest in real conversations\" },\n     { \"label\": \"Vectara HHEM (enterprise docs)\", \"value\": \"Gemini 2.5 Flash-Lite - 3.3%\", \"source\": \"Vectara\", \"leads\": false, \"note\": \"summarization faithfulness\" },\n     { \"label\": \"Vectara HHEM (short docs)\", \"value\": \"Gemini 2.0 Flash - 0.7%\", \"source\": \"Vectara\", \"leads\": false, \"note\": \"the single lowest number anywhere\" },\n     { \"label\": \"FACTS (grounded factuality)\", \"value\": \"Gemini 3 Pro - 68.8\", \"source\": \"FACTS\", \"leads\": false, \"note\": \"higher is better here\" },\n     { \"label\": \"CJR Citation (sourced answers)\", \"value\": \"Perplexity Sonar Pro - 37%\", \"source\": \"CJR \/ Columbia\", \"leads\": false, \"note\": \"fewest fabricated citations\" }\n   ],\n   \"leaderboard\": [\n     { \"rank\": 1, \"model\": \"Claude Opus 4.5\", \"provider\": \"Anthropic\", \"logo\": \"claude\", \"color\": \"#D97757\", \"score\": \"30%\" },\n     { \"rank\": 2, \"model\": \"GPT-5.5\", \"provider\": \"OpenAI\", \"logo\": \"chatgpt\", \"color\": \"#10A37F\", \"score\": \"38%\" },\n     { \"rank\": 3, \"model\": \"Gemini 3.1 Pro\", \"provider\": \"Google\", \"logo\": \"gemini\", \"color\": \"#4285F4\", \"score\": \"61%\" },\n     { \"rank\": 4, \"model\": \"Grok 4.3\", \"provider\": \"xAI\", \"logo\": \"grok\", \"color\": \"#E11D48\", \"score\": \"72%\" },\n     { \"rank\": 5, \"model\": \"Perplexity Sonar Pro\", \"provider\": \"Perplexity\", \"logo\": \"perplexity\", \"color\": \"#22D3EE\", \"score\": \"n\/a\" }\n   ],\n   \"history\": [\n     { \"model\": \"Claude 4.0 Opus\", \"color\": \"#D97757\", \"period\": \"Mar 2026\", \"held\": \"1 month\" },\n     { \"model\": \"Claude 4.0\", \"color\": \"#D97757\", \"period\": \"Feb 2026\", \"held\": \"1 month\" }\n   ],\n   \"methodology\": \"No model leads every hallucination benchmark, so the title goes to the strongest showing across Vectara, AA-Omniscience, FACTS, HalluHard and CJR - weighted toward the hardest behaviour, refusing to answer when unsure. We don't pick the winner, the benchmarks do, and we refresh this card every time our hallucination hub updates.\",\n   \"sources\": [\n     { \"label\": \"Suprmind AI hallucination benchmark hub\", \"url\": \"\/hub\/ai-hallucination-rates-and-benchmarks\/\" },\n     { \"label\": \"Vectara, AA-Omniscience, FACTS, HalluHard and CJR - all sourced on the hub\", \"url\": \"\/hub\/ai-hallucination-rates-and-benchmarks\/\" }\n   ],\n   \"cta\": {\n     \"headline\": \"The lowest-hallucination model is on Suprmind. So are the other four.\",\n     \"body\": \"Claude leads today - but it still hallucinates the moment it stops refusing, and a different model wins every other benchmark. That is the case for running all five in one thread: when one is weak, the others catch it before it reaches your work. Frontier models run on the Pro and Frontier plans.\",\n     \"button\": \"Start Free Trial - 7 Days, No Credit Card\",\n     \"href\": \"\/signup\/spark\",\n     \"button2\": \"See Pricing\",\n     \"href2\": \"\/hub\/pricing\/\"\n   }\n }\n <\/script>\n\n   <div class=\"sm-saiw__card\">\n\n     <div class=\"sm-saiw__head\">\n       <span class=\"sm-saiw__eyebrow\">\n         <span class=\"sm-saiw__livedot\" aria-hidden=\"true\"><\/span>\n         Aktuell die KI mit der niedrigsten Halluzinationsrate\n       <\/span>\n     <\/div>\n\n     <div class=\"sm-saiw__champion\">\n       <span class=\"sm-saiw__mark\" data-saiw=\"champion-mark\" aria-hidden=\"true\"><\/span>\n       <div class=\"sm-saiw__champion-id\">\n         <h3 class=\"sm-saiw__model\" data-saiw=\"champion-model\">Claude Opus 4.1<\/h3>\n         <p class=\"sm-saiw__provider\">von <span data-saiw=\"champion-provider\">Anthropic<\/span><\/p>\n       <\/div>\n       <div class=\"sm-saiw__score\">\n         <p class=\"sm-saiw__score-v\" data-saiw=\"champion-score\">0\u00a0%<\/p>\n         <p class=\"sm-saiw__score-l\"><span data-saiw=\"champion-scorelabel\">AA-Omniscience-Halluzinationsrate<\/span><br><span class=\"sm-saiw__score-src\" data-saiw=\"champion-scoresource\">Suprmind-Halluzinations-Hub<\/span><\/p>\n       <\/div>\n     <\/div>\n\n     <p class=\"sm-saiw__explainer\">\n       <strong>Warum 0 %:<\/strong> AA-Omniscience z\u00e4hlt die falschen Antworten unter denen, die ein Modell tats\u00e4chlich zu beantworten versucht. Claude Opus 4.1 kommt auf 0 %, weil es sich lieber enth\u00e4lt, als zu raten \u2013 das denkbar sicherste Verhalten und nicht das, wof\u00fcr Sie eine KI einsetzen.\n     <\/p>\n\n     <div class=\"sm-saiw__reign\">\n       <div class=\"sm-saiw__reign-bar\" role=\"img\" data-saiw=\"reign-aria\" aria-label=\"\">\n         <span class=\"sm-saiw__reign-fill\" data-saiw=\"reign-fill\"><\/span>\n         <span class=\"sm-saiw__reign-avg\" data-saiw=\"reign-avgmark\" title=\"Hier endet die durchschnittliche Regentschaft\"><\/span>\n       <\/div>\n       <p class=\"sm-saiw__reign-line\">\n         H\u00e4lt den Titel f\u00fcr die niedrigste Halluzinationsrate seit <strong data-saiw=\"reign-days\">\u00fcber 5 Monaten<\/strong>.\n         Ein Herausforderer h\u00e4lt sich im Schnitt nur <span data-saiw=\"reign-avg\">3\u20135 Wochen<\/span> \u2013 Claude gibt ihn seit Februar nicht mehr ab.\n       <\/p>\n     <\/div>\n\n     <div class=\"sm-saiw__sect sm-saiw__sect--always\" data-saiw=\"always\">\n       <p class=\"sm-saiw__sect-label\">Niedrigste Halluzinationsrate je Benchmark<\/p>\n       <div class=\"sm-saiw__peek\" data-saiw=\"peek\">\n         <div class=\"sm-saiw__bench\" data-saiw=\"benchmarks\"><\/div>\n       <\/div>\n       <p class=\"sm-saiw__finenote sm-saiw__finenote--always\">Selbst der Spitzenreiter f\u00fchrt nicht in jedem Benchmark. Das schafft kein Modell. Genau diese L\u00fccke ist der Kern der Sache.<\/p>\n     <\/div>\n\n     <button type=\"button\" class=\"sm-saiw__toggle\" data-saiw=\"toggle\" aria-expanded=\"false\" aria-controls=\"sm-saiw-expand\">\n       <span data-saiw=\"toggle-label\">Aktuelle Statistiken und Modelle anzeigen<\/span>\n       <svg class=\"sm-saiw__chev\" width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M6 9l6 6 6-6\"\/><\/svg>\n     <\/button>\n\n     <div class=\"sm-saiw__expand\" id=\"sm-saiw-expand\" data-saiw=\"expand\" hidden>\n       <div class=\"sm-saiw__expand-inner\">\n\n         <div class=\"sm-saiw__sect\">\n           <p class=\"sm-saiw__sect-label\">Die f\u00fcnf f\u00fchrenden Modelle im Ranking<\/p>\n           <ol class=\"sm-saiw__board\" data-saiw=\"leaderboard\"><\/ol>\n           <p class=\"sm-saiw__finenote\">Alle f\u00fcnf laufen auf Suprmind, im selben Gespr\u00e4ch. Die Werte zeigen die HalluHard-Halluzinationsrate in realistischen Chats \u2013 niedriger ist besser. Perplexity Sonar arbeitet suchgest\u00fctzt und wird von HalluHard nicht bewertet \u2013 daf\u00fcr f\u00fchrt es bei der Zitiergenauigkeit (CJR-Studie).<\/p>\n         <\/div>\n\n         <div class=\"sm-saiw__sect\">\n           <p class=\"sm-saiw__sect-label\">J\u00fcngste Titeltr\u00e4ger<\/p>\n           <ul class=\"sm-saiw__history\" data-saiw=\"history\"><\/ul>\n         <\/div>\n\n         <div class=\"sm-saiw__sect sm-saiw__sect--method\">\n           <p class=\"sm-saiw__sect-label\">So ermitteln wir den Sieger<\/p>\n           <p class=\"sm-saiw__method\" data-saiw=\"methodology\"><\/p>\n           <p class=\"sm-saiw__sources\" data-saiw=\"sources\"><\/p>\n         <\/div>\n\n         <div class=\"sm-saiw__cta\">\n           <p class=\"sm-saiw__cta-h\" data-saiw=\"cta-headline\"><\/p>\n           <p class=\"sm-saiw__cta-b\" data-saiw=\"cta-body\"><\/p>\n           <div class=\"sm-saiw__cta-actions\">\n             <a class=\"sm-saiw__cta-btn\" data-saiw=\"cta-btn\" href=\"\/signup\/spark\"><\/a>\n             <a class=\"sm-saiw__cta-btn2\" data-saiw=\"cta-btn2\" href=\"https:\/\/suprmind.ai\/hub\/de\/preise\/\"><\/a>\n           <\/div>\n         <\/div>\n\n       <\/div>\n     <\/div>\n   <\/div>\n <\/div>\n\n <style>\n \/* \u2500\u2500 Scoped to #sm-saiw. Safe to drop into any WP page. \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 *\/\n #sm-saiw{\n   --saiw-border: rgba(255,255,255,0.08);\n   --saiw-border-strong: rgba(255,255,255,0.16);\n   --saiw-surface: rgba(255,255,255,0.02);\n   --saiw-surface-2: rgba(255,255,255,0.04);\n   --saiw-text: #f4f4f5;\n   --saiw-text-2: #e5e7eb;\n   --saiw-mute: #9ca3af;\n   --saiw-faint: #71717a;\n   --saiw-accent: #c4b5fd;\n   --saiw-accent-bg: rgba(168,85,247,0.10);\n   --saiw-accent-border: rgba(168,85,247,0.40);\n   --saiw-green: #10b981;\n   font-family: inherit;\n   color: var(--saiw-text);\n   max-width: 640px;\n   width: 100%;\n   box-sizing: border-box;\n }\n #sm-saiw *, #sm-saiw *::before, #sm-saiw *::after{ box-sizing: border-box; }\n #sm-saiw p, #sm-saiw h3, #sm-saiw ol, #sm-saiw ul{ margin: 0; padding: 0; }\n #sm-saiw ol, #sm-saiw ul{ list-style: none; }\n\n .sm-saiw__card{\n   border: 2px solid var(--saiw-border);\n   border-radius: 14px;\n   background: var(--saiw-surface);\n   padding: 24px 26px 20px;\n   overflow: hidden;\n }\n\n \/* head *\/\n .sm-saiw__head{\n   display: flex; align-items: baseline; justify-content: space-between;\n   gap: 12px; flex-wrap: wrap; margin-bottom: 18px;\n }\n .sm-saiw__eyebrow{\n   display: inline-flex; align-items: center; gap: 8px;\n   font-size: 13px; font-weight: 600; letter-spacing: 0.10em;\n   text-transform: uppercase; color: var(--saiw-mute);\n }\n .sm-saiw__livedot{\n   width: 7px; height: 7px; border-radius: 50%;\n   background: var(--saiw-green); flex: none;\n   box-shadow: 0 0 0 0 rgba(16,185,129,0.5);\n   animation: sm-saiw-pulse 2.4s ease-out infinite;\n }\n @keyframes sm-saiw-pulse{\n   0%{ box-shadow: 0 0 0 0 rgba(16,185,129,0.45); }\n   70%{ box-shadow: 0 0 0 7px rgba(16,185,129,0); }\n   100%{ box-shadow: 0 0 0 0 rgba(16,185,129,0); }\n }\n \/* .sm-saiw__verified rule removed with the \"Verified <date>\" stamp it styled. *\/\n\n \/* champion row *\/\n .sm-saiw__champion{\n   display: flex; align-items: center; gap: 16px; margin-bottom: 18px;\n }\n .sm-saiw__mark{\n   width: 52px; height: 52px; flex: none;\n   display: inline-flex; align-items: center; justify-content: center;\n   border-radius: 12px;\n   border: 1px solid var(--saiw-mark-border, var(--saiw-border-strong));\n   background: var(--saiw-mark-bg, var(--saiw-surface-2));\n }\n .sm-saiw__mark svg{ width: 26px; height: 26px; }\n .sm-saiw__champion-id{ flex: 1 1 auto; min-width: 0; }\n .sm-saiw__model{\n   font-size: 27px; line-height: 1.15; font-weight: 700;\n   letter-spacing: -0.01em; color: var(--saiw-text);\n }\n .sm-saiw__provider{ font-size: 14px; color: var(--saiw-mute); margin-top: 3px; }\n .sm-saiw__score{ text-align: right; flex: none; }\n .sm-saiw__score-v{ font-size: 30px; font-weight: 700; line-height: 1; }\n .sm-saiw__score-l{ font-size: 12px; line-height: 1.4; color: var(--saiw-mute); margin-top: 4px; }\n .sm-saiw__score-src{ color: var(--saiw-faint); }\n\n \/* abstention explainer - sets up the pivot: the safest model is the one that refuses to answer *\/\n .sm-saiw__explainer{\n   font-size: 13.5px; line-height: 1.6; color: var(--saiw-mute);\n   border-left: 2px solid var(--saiw-accent-border);\n   padding: 2px 0 2px 12px;\n   margin-bottom: 18px !important;\n }\n .sm-saiw__explainer strong{ color: var(--saiw-text-2); font-weight: 600; }\n\n \/* reign meter *\/\n .sm-saiw__reign{ margin-bottom: 16px; }\n .sm-saiw__reign-bar{\n   position: relative; height: 5px; border-radius: 3px;\n   background: rgba(255,255,255,0.07); overflow: visible; margin-bottom: 9px;\n }\n .sm-saiw__reign-fill{\n   position: absolute; inset: 0 auto 0 0; width: 0%;\n   border-radius: 3px;\n   background: linear-gradient(90deg, rgba(168,85,247,0.55), var(--saiw-accent));\n   transition: width 900ms cubic-bezier(.25,.8,.3,1);\n }\n .sm-saiw__reign-avg{\n   position: absolute; top: -3px; bottom: -3px; width: 2px;\n   background: var(--saiw-faint); border-radius: 1px; left: 80%;\n }\n .sm-saiw__reign-line{ font-size: 14px; line-height: 1.55; color: var(--saiw-text-2); }\n .sm-saiw__reign-line strong{ color: var(--saiw-text); font-weight: 600; }\n\n \/* toggle *\/\n .sm-saiw__toggle{\n   width: 100%; display: flex; align-items: center; justify-content: center; gap: 8px;\n   padding: 11px 16px; border-radius: 9px; cursor: pointer;\n   border: 1px solid var(--saiw-accent-border);\n   background: var(--saiw-accent-bg); color: var(--saiw-accent);\n   font: inherit; font-size: 14px; font-weight: 600;\n   transition: background 160ms ease, border-color 160ms ease;\n }\n .sm-saiw__toggle:hover{ background: rgba(168,85,247,0.16); }\n .sm-saiw__toggle:focus-visible{ outline: 2px solid var(--saiw-accent); outline-offset: 2px; }\n .sm-saiw__chev{ transition: transform 220ms ease; }\n .sm-saiw__toggle[aria-expanded=\"true\"] .sm-saiw__chev{ transform: rotate(180deg); }\n\n \/* expandable region (grid-rows trick for smooth height) *\/\n .sm-saiw__expand{\n   display: grid; grid-template-rows: 0fr;\n   transition: grid-template-rows 320ms ease;\n }\n .sm-saiw__expand.is-open{ grid-template-rows: 1fr; }\n .sm-saiw__expand-inner{ overflow: hidden; min-height: 0; }\n .sm-saiw__expand-inner > :first-child{ margin-top: 22px; }\n\n \/* sections *\/\n .sm-saiw__sect{ padding: 18px 0; border-top: 1px solid var(--saiw-border); }\n \/* always-visible benchmark table sits above the toggle, slightly tighter to it *\/\n .sm-saiw__sect--always{ padding-bottom: 6px; margin-bottom: 2px; }\n \/* peek: clip + fade the benchmark list so a row is cut off right at the toggle button.\n    This teases the remaining rows so visitors understand the button reveals more, not navigates away. *\/\n .sm-saiw__peek{\n   position: relative;\n   max-height: 182px;\n   overflow: hidden;\n   -webkit-mask-image: linear-gradient(to bottom, #000 66%, transparent 100%);\n           mask-image: linear-gradient(to bottom, #000 66%, transparent 100%);\n   transition: max-height 360ms ease;\n }\n \/* when expanded, drop the clip + fade so the full table shows above the rest of the card *\/\n .sm-saiw__sect--always.is-open .sm-saiw__peek{\n   max-height: 1200px;\n   -webkit-mask-image: none;\n           mask-image: none;\n }\n .sm-saiw__finenote--always{ display: none; }\n .sm-saiw__sect--always.is-open .sm-saiw__finenote--always{ display: block; margin-top: 4px; }\n .sm-saiw__sect-label{\n   font-size: 12px; font-weight: 600; letter-spacing: 0.10em;\n   text-transform: uppercase; color: var(--saiw-mute); margin-bottom: 12px;\n }\n .sm-saiw__finenote{ font-size: 13.5px; color: var(--saiw-faint); margin-top: 10px; font-style: italic; }\n\n \/* benchmark table *\/\n .sm-saiw__bench-row{\n   display: flex; align-items: baseline; gap: 10px;\n   padding: 8px 0; border-bottom: 1px dashed rgba(255,255,255,0.06);\n   font-size: 14px;\n }\n .sm-saiw__bench-row:last-child{ border-bottom: 0; }\n .sm-saiw__bench-label{ flex: 1 1 auto; color: var(--saiw-text-2); }\n .sm-saiw__bench-note{ font-size: 13px; color: var(--saiw-faint); }\n .sm-saiw__bench-value{ font-weight: 600; color: var(--saiw-text); white-space: nowrap; }\n .sm-saiw__bench-value.is-lead::after{\n   content: \"leads\"; margin-left: 7px; font-size: 12px; font-weight: 600;\n   letter-spacing: 0.06em; text-transform: uppercase; color: var(--saiw-green);\n   border: 1px solid rgba(16,185,129,0.4); border-radius: 99px; padding: 1.5px 7px;\n   vertical-align: 2px;\n }\n .sm-saiw__bench-src{ font-size: 12px; color: var(--saiw-faint); white-space: nowrap; }\n\n \/* leaderboard *\/\n .sm-saiw__board-row{\n   display: flex; align-items: center; gap: 12px; padding: 8px 0; font-size: 14px;\n }\n .sm-saiw__board-rank{\n   width: 20px; flex: none; font-size: 14px; font-weight: 600;\n   color: var(--saiw-faint); font-variant-numeric: tabular-nums;\n }\n .sm-saiw__board-dot{\n   width: 24px; height: 24px; flex: none; border-radius: 7px;\n   display: inline-flex; align-items: center; justify-content: center;\n }\n .sm-saiw__board-dot svg{ width: 13px; height: 13px; }\n .sm-saiw__board-model{ flex: 1 1 auto; color: var(--saiw-text-2); }\n .sm-saiw__board-row.is-champ .sm-saiw__board-model{ color: var(--saiw-text); font-weight: 600; }\n .sm-saiw__board-score{ font-variant-numeric: tabular-nums; color: var(--saiw-mute); }\n\n \/* history *\/\n .sm-saiw__hist-row{\n   display: flex; align-items: baseline; gap: 10px; padding: 7px 0; font-size: 14px;\n }\n .sm-saiw__hist-mark{ width: 8px; height: 8px; border-radius: 50%; flex: none; align-self: center; }\n .sm-saiw__hist-model{ color: var(--saiw-text-2); font-weight: 500; }\n .sm-saiw__hist-period{ flex: 1 1 auto; color: var(--saiw-faint); font-size: 13.5px; }\n .sm-saiw__hist-days{ color: var(--saiw-mute); white-space: nowrap; font-size: 13.5px; }\n\n \/* methodology + sources *\/\n .sm-saiw__method{ font-size: 14px; line-height: 1.65; color: var(--saiw-text-2); }\n .sm-saiw__sources{ font-size: 13.5px; color: var(--saiw-faint); margin-top: 10px; }\n .sm-saiw__sources a{ color: var(--saiw-mute); text-decoration: underline; text-underline-offset: 2px; }\n .sm-saiw__sources a:hover{ color: var(--saiw-text-2); }\n\n \/* CTA *\/\n .sm-saiw__cta{\n   margin-top: 4px; padding: 26px 26px 24px;\n   border: 1px solid var(--saiw-accent-border);\n   background: var(--saiw-accent-bg); border-radius: 11px;\n }\n .sm-saiw__cta-h{ font-size: 16.5px; font-weight: 700; margin-bottom: 8px; }\n .sm-saiw__cta-b{ font-size: 14px; line-height: 1.6; color: var(--saiw-text-2); }\n .sm-saiw__cta-actions{ display: flex; gap: 10px; flex-wrap: wrap; margin-top: 22px; }\n .sm-saiw__cta-btn{\n   display: inline-block; padding: 11px 20px; border-radius: 9px;\n   background: #fff; color: #0a0a0a; font-size: 14px; font-weight: 600;\n   text-decoration: none; transition: opacity 150ms ease;\n }\n .sm-saiw__cta-btn:hover{ opacity: 0.88; }\n .sm-saiw__cta-btn2{\n   display: inline-block; padding: 11px 20px; border-radius: 9px;\n   background: transparent; color: var(--saiw-text);\n   border: 1px solid #fff;\n   font-size: 14px; font-weight: 600; text-decoration: none;\n   transition: border-color 150ms ease, background 150ms ease;\n }\n .sm-saiw__cta-btn2:hover{ border-color: rgba(255,255,255,0.55); background: rgba(255,255,255,0.06); }\n\n \/* responsive *\/\n @media (max-width: 480px){\n   .sm-saiw__card{ padding: 18px 16px 14px; }\n   .sm-saiw__model{ font-size: 22px; }\n   .sm-saiw__score-v{ font-size: 24px; }\n   .sm-saiw__champion{ gap: 12px; }\n   .sm-saiw__mark{ width: 44px; height: 44px; }\n   .sm-saiw__bench-src{ display: none; }\n }\n @media (prefers-reduced-motion: reduce){\n   #sm-saiw .sm-saiw__livedot{ animation: none; }\n   #sm-saiw .sm-saiw__expand,\n   #sm-saiw .sm-saiw__reign-fill,\n   #sm-saiw .sm-saiw__chev{ transition: none; }\n }\n <\/style>\n\n <script>\n (function(){\n   \"use strict\";\n   var root = document.getElementById(\"sm-saiw\");\n   if(!root) return;\n   var dataEl = document.getElementById(\"sm-saiw-data\");\n   var D;\n   try { D = JSON.parse(dataEl.textContent); } catch(e){ return; }\n\n   \/* \u2500\u2500 helpers \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 *\/\n   function $(sel){ return root.querySelector('[data-saiw=\"' + sel + '\"]'); }\n   function el(tag, cls, text){\n     var n = document.createElement(tag);\n     if(cls) n.className = cls;\n     if(text != null) n.textContent = text;\n     return n;\n   }\n   function track(name, params){\n     params = params || {};\n     params.page_widget = \"lowest_hallucination_title_card\";\n     if (typeof window.gtag === \"function\") {\n       window.gtag(\"event\", name, params);\n     } else if (window.dataLayer && typeof window.dataLayer.push === \"function\") {\n       window.dataLayer.push(Object.assign({ event: name }, params));\n     }\n   }\n   function fmtDate(iso){\n     var d = new Date(iso + \"T00:00:00\");\n     if (isNaN(d)) return iso;\n     return d.toLocaleDateString(\"en-US\", { month: \"short\", year: \"numeric\" });\n   }\n\n   \/* provider marks (monochrome-in-color, same paths as site pills) *\/\n   var LOGOS = {\n     claude:'<svg viewBox=\"0 0 24 24\" fill=\"COLOR\" aria-hidden=\"true\"><path d=\"M17.304 3.541h-3.672l6.696 16.918H24Zm-10.608 0L0 20.459h3.744l1.37-3.553h7.005l1.369 3.553h3.744L10.536 3.541Zm-.371 10.223L8.616 7.82l2.291 5.945Z\"\/><\/svg>',\n     chatgpt:'<svg viewBox=\"0 0 24 24\" fill=\"COLOR\" aria-hidden=\"true\"><path d=\"M22.282 9.821a5.985 5.985 0 0 0-.516-4.91 6.046 6.046 0 0 0-6.51-2.9A6.065 6.065 0 0 0 4.981 4.18a5.985 5.985 0 0 0-3.998 2.9 6.046 6.046 0 0 0 .743 7.097 5.98 5.98 0 0 0 .51 4.911 6.051 6.051 0 0 0 6.515 2.9A5.985 5.985 0 0 0 13.26 24a6.056 6.056 0 0 0 5.772-4.206 5.99 5.99 0 0 0 3.997-2.9 6.056 6.056 0 0 0-.747-7.073zM13.26 22.43a4.476 4.476 0 0 1-2.876-1.04l.141-.081 4.779-2.758a.795.795 0 0 0 .392-.681v-6.737l2.02 1.168a.071.071 0 0 1 .038.052v5.583a4.504 4.504 0 0 1-4.494 4.494zM3.6 18.304a4.47 4.47 0 0 1-.535-3.014l.142.085 4.783 2.759a.771.771 0 0 0 .78 0l5.843-3.369v2.332a.08.08 0 0 1-.033.062L9.74 19.95a4.5 4.5 0 0 1-6.14-1.646zM2.34 7.896a4.485 4.485 0 0 1 2.366-1.973V11.6a.766.766 0 0 0 .388.676l5.815 3.355-2.02 1.168a.076.076 0 0 1-.071 0l-4.83-2.786A4.504 4.504 0 0 1 2.34 7.872zm16.597 3.855-5.833-3.387L15.119 7.2a.076.076 0 0 1 .071 0l4.83 2.791a4.494 4.494 0 0 1-.676 8.105v-5.678a.79.79 0 0 0-.407-.667zm2.01-3.023-.141-.085-4.774-2.782a.776.776 0 0 0-.785 0L9.409 9.23V6.897a.066.066 0 0 1 .028-.061l4.83-2.787a4.5 4.5 0 0 1 6.68 4.66zm-12.64 4.135-2.02-1.164a.08.08 0 0 1-.038-.057V6.075a4.5 4.5 0 0 1 7.375-3.453l-.142.08L8.704 5.46a.795.795 0 0 0-.393.681zm1.097-2.365 2.602-1.5 2.607 1.5v2.999l-2.597 1.5-2.607-1.5Z\"\/><\/svg>',\n     gemini:'<svg viewBox=\"0 0 24 24\" fill=\"COLOR\" aria-hidden=\"true\"><path d=\"M11.04 19.32Q12 21.51 12 24q0-2.49.93-4.68.96-2.19 2.58-3.81t3.81-2.55Q21.51 12 24 12q-2.49 0-4.68-.93a12.3 12.3 0 0 1-3.81-2.58 12.3 12.3 0 0 1-2.58-3.81Q12 2.49 12 0q0 2.49-.96 4.68-.93 2.19-2.55 3.81a12.3 12.3 0 0 1-3.81 2.58Q2.49 12 0 12q2.49 0 4.68.96 2.19.93 3.81 2.55t2.55 3.81\"\/><\/svg>',\n     grok:'<svg viewBox=\"0 0 24 24\" fill=\"COLOR\" fill-rule=\"evenodd\" aria-hidden=\"true\"><path d=\"M9.27 15.29l7.978-5.897c.391-.29.95-.177 1.137.272.98 2.369.542 5.215-1.41 7.169-1.951 1.954-4.667 2.382-7.149 1.406l-2.711 1.257c3.889 2.661 8.611 2.003 11.562-.953 2.341-2.344 3.066-5.539 2.388-8.42l.006.007c-.983-4.232.242-5.924 2.75-9.383.06-.082.12-.164.179-.248l-3.301 3.305v-.01L9.267 15.292M7.623 16.723c-2.792-2.67-2.31-6.801.071-9.184 1.761-1.763 4.647-2.483 7.166-1.425l2.705-1.25a7.808 7.808 0 00-1.829-1A8.975 8.975 0 005.984 5.83c-2.533 2.536-3.33 6.436-1.962 9.764 1.022 2.487-.653 4.246-2.34 6.022-.599.63-1.199 1.259-1.682 1.925l7.62-6.815\"\/><\/svg>',\n     perplexity:'<svg viewBox=\"0 0 24 24\" fill=\"COLOR\" aria-hidden=\"true\"><path d=\"M22.398 7.09h-2.31V.068l-7.51 6.354V.158h-1.156v6.196L4.49 0v7.09H1.602v10.397H4.49V24l6.933-6.36v6.201h1.155v-6.047l6.932 6.181v-6.488h2.888zm-3.466-4.531v4.53h-5.355zm-13.286.067l4.869 4.464h-4.87zM2.758 16.332V8.245h7.847L4.49 14.36v1.972zm2.888 5.04v-6.534l5.776-5.776v7.011zm12.708.025l-5.776-5.15V9.061l5.776 5.776zm2.889-5.065H19.51V14.36l-6.115-6.115h7.848z\"\/><\/svg>'\n   };\n   function logoSvg(key, color){\n     return (LOGOS[key] || LOGOS.claude).split(\"COLOR\").join(color);\n   }\n   function hexAlpha(hex, aa){ return hex + aa; }\n\n   \/* \u2500\u2500 fill collapsed state from JSON (JSON = single source of truth) \u2500\u2500 *\/\n   var C = D.champion;\n   \/* The visible \"Verified <date>\" stamp was removed from the card, so there is no\n      [data-saiw=\"verified\"] node to write to. Do not re-add this line without re-adding\n      that element - $() would return null and this whole IIFE would throw before the\n      card is populated. fmtDate() is retained for any future dated field. *\/\n   $(\"champion-model\").textContent = C.model;\n   $(\"champion-provider\").textContent = C.provider;\n   $(\"champion-score\").textContent = C.score;\n   $(\"champion-scorelabel\").textContent = C.scoreLabel;\n   $(\"champion-scoresource\").textContent = C.scoreSource;\n\n   var mark = $(\"champion-mark\");\n   mark.innerHTML = logoSvg(C.logo, C.color);\n   mark.style.setProperty(\"--saiw-mark-border\", hexAlpha(C.color, \"55\"));\n   mark.style.setProperty(\"--saiw-mark-bg\", hexAlpha(C.color, \"10\"));\n\n   \/* reign meter *\/\n   var msDay = 86400000;\n   var since = new Date(D.titleSince + \"T00:00:00\");\n   var daysHeld = Math.max(1, Math.round((Date.now() - since.getTime()) \/ msDay));\n   var avgMid = (D.avgReignDaysMin + D.avgReignDaysMax) \/ 2;\n   var pct = Math.max(4, Math.min(100, Math.round((daysHeld \/ D.avgReignDaysMax) * 100)));\n   var avgPct = Math.round((avgMid \/ D.avgReignDaysMax) * 100);\n\n   $(\"reign-days\").textContent = daysHeld + (daysHeld === 1 ? \" day\" : \" days\");\n   $(\"reign-avg\").textContent = Math.round(D.avgReignDaysMin \/ 7) + \"-\" + Math.round(D.avgReignDaysMax \/ 7) + \" weeks\";\n   $(\"reign-avgmark\").style.left = avgPct + \"%\";\n   $(\"reign-aria\").setAttribute(\"aria-label\",\n     C.model + \" has held the title for \" + daysHeld + \" days. The average reign is \" +\n     D.avgReignDaysMin + \" to \" + D.avgReignDaysMax + \" days.\");\n   requestAnimationFrame(function(){\n     requestAnimationFrame(function(){ $(\"reign-fill\").style.width = pct + \"%\"; });\n   });\n\n   \/* \u2500\u2500 build expanded card \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 *\/\n   \/\/ benchmarks\n   var bWrap = $(\"benchmarks\");\n   D.benchmarks.forEach(function(b){\n     var row = el(\"div\", \"sm-saiw__bench-row\");\n     var label = el(\"span\", \"sm-saiw__bench-label\", b.label);\n     if (b.note) {\n       label.appendChild(document.createTextNode(\" \"));\n       label.appendChild(el(\"span\", \"sm-saiw__bench-note\", \"(\" + b.note + \")\"));\n     }\n     var val = el(\"span\", \"sm-saiw__bench-value\" + (b.leads ? \" is-lead\" : \"\"), b.value);\n     var src = el(\"span\", \"sm-saiw__bench-src\", b.source);\n     row.appendChild(label); row.appendChild(val); row.appendChild(src);\n     bWrap.appendChild(row);\n   });\n\n   \/\/ leaderboard\n   var board = $(\"leaderboard\");\n   D.leaderboard.forEach(function(m){\n     var li = el(\"li\", \"sm-saiw__board-row\" + (m.rank === 1 ? \" is-champ\" : \"\"));\n     var rank = el(\"span\", \"sm-saiw__board-rank\", String(m.rank));\n     var dot = el(\"span\", \"sm-saiw__board-dot\");\n     dot.innerHTML = logoSvg(m.logo, m.color);\n     dot.style.border = \"1px solid \" + hexAlpha(m.color, \"55\");\n     dot.style.background = hexAlpha(m.color, \"10\");\n     var name = el(\"span\", \"sm-saiw__board-model\", m.model);\n     var score = el(\"span\", \"sm-saiw__board-score\", m.score);\n     li.appendChild(rank); li.appendChild(dot); li.appendChild(name); li.appendChild(score);\n     board.appendChild(li);\n   });\n\n   \/\/ history\n   var hist = $(\"history\");\n   D.history.forEach(function(h){\n     var li = el(\"li\", \"sm-saiw__hist-row\");\n     var dot = el(\"span\", \"sm-saiw__hist-mark\");\n     dot.style.background = h.color;\n     var name = el(\"span\", \"sm-saiw__hist-model\", h.model);\n     var period = el(\"span\", \"sm-saiw__hist-period\", h.period);\n     var days = el(\"span\", \"sm-saiw__hist-days\", \"held \" + h.held);\n     li.appendChild(dot); li.appendChild(name); li.appendChild(period); li.appendChild(days);\n     hist.appendChild(li);\n   });\n\n   \/\/ methodology + sources\n   $(\"methodology\").textContent = D.methodology;\n   var srcWrap = $(\"sources\");\n   srcWrap.appendChild(document.createTextNode(\"Sources: \"));\n   D.sources.forEach(function(s, i){\n     if (i > 0) srcWrap.appendChild(document.createTextNode(\" \u00b7 \"));\n     var a = el(\"a\", null, s.label);\n     a.href = s.url;\n     if (\/^https?:\\\/\\\/\/.test(s.url)) { a.target = \"_blank\"; a.rel = \"noopener noreferrer\"; }\n     a.addEventListener(\"click\", function(){ track(\"sm_saiw_source_click\", { source_label: s.label }); });\n     srcWrap.appendChild(a);\n   });\n\n   \/\/ CTA\n   $(\"cta-headline\").textContent = D.cta.headline;\n   $(\"cta-body\").textContent = D.cta.body;\n   var btn = $(\"cta-btn\");\n   btn.textContent = D.cta.button;\n   btn.href = D.cta.href;\n   btn.addEventListener(\"click\", function(){ track(\"sm_saiw_cta_click\", { cta_location: \"model_card\", cta_type: \"trial\" }); });\n\n   var btn2 = $(\"cta-btn2\");\n   btn2.textContent = D.cta.button2;\n   btn2.href = D.cta.href2;\n   btn2.addEventListener(\"click\", function(){ track(\"sm_saiw_cta_click\", { cta_location: \"model_card\", cta_type: \"pricing\" }); });\n\n   \/* \u2500\u2500 expand \/ collapse \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 *\/\n   var toggle = $(\"toggle\");\n   var expand = $(\"expand\");\n   var toggleLabel = $(\"toggle-label\");\n   var always = $(\"always\");\n   var hasExpanded = false;\n\n   toggle.addEventListener(\"click\", function(){\n     var open = expand.classList.contains(\"is-open\");\n     if (open) {\n       expand.classList.remove(\"is-open\");\n       if (always) always.classList.remove(\"is-open\");\n       toggle.setAttribute(\"aria-expanded\", \"false\");\n       toggleLabel.textContent = \"Show latest statistics and models\";\n       window.setTimeout(function(){ expand.hidden = true; }, 340);\n       track(\"sm_saiw_collapse\", {});\n     } else {\n       expand.hidden = false;\n       requestAnimationFrame(function(){ expand.classList.add(\"is-open\"); });\n       if (always) always.classList.add(\"is-open\");\n       toggle.setAttribute(\"aria-expanded\", \"true\");\n       toggleLabel.textContent = \"Hide statistics and models\";\n       track(\"sm_saiw_expand\", {\n         champion_model: C.model,\n         first_expand: hasExpanded ? \"no\" : \"yes\",\n         days_held: daysHeld\n       });\n       hasExpanded = true;\n     }\n   });\n\n })();\n <\/script>\n     <\/div>\n <\/div>\n \n\n <section style=\"padding: 100px 48px;\">\n     <div style=\"max-width: 1000px; margin: 0 auto;\">\n         <div style=\"text-align: center;\">\n             <div class=\"section-label\">Das eigentliche Risiko<\/div>\n             <h2>Eine KI kann sich mit voller \u00dcberzeugung irren. <br>Sie werden es nie bemerken.<\/h2>\n         <\/div>\n\n         <p style=\"font-size: 19px; text-align: center; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 40px 0;\">\n             Ein einzelnes Modell erfindet eine Statistik, ein Zitat, einen Pr\u00e4zedenzfall, eine Klauselauslegung. Die Antwort wirkt einwandfrei. Es gibt keine zweite Stimme im Raum, die widerspricht \u2013 also landet sie direkt in Ihrem Memo, Ihrem Schriftsatz, Ihrer Vorstandspr\u00e4sentation. Bis jemand den Fehler findet, ist die Entscheidung l\u00e4ngst gefallen.\n         <\/p>\n\n         <p style=\"font-size: 19px; text-align: center; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 40px 0 24px 0;\">\n             Bei schwierigen Fragen liegt die Rate bei etwa 5 bis 10 %, h\u00f6her bei allem, was eine Quelle oder einen realen Fakt erfordert. Und weil diese Modelle auf menschliche Zustimmung trainiert sind, klingen sie gerade dann am sichersten, wenn sie am wenigsten in der Hand haben.<\/p>\n\n \n <section class=\"sm-section sm-section--dark sm-evidence-section\">\n   <div class=\"sm-section__inner\">\n <h3 style=\"text-align: center;\">Der Multi-KI-Workflow, der Fehler abf\u00e4ngt, die eine einzelne KI \u00fcbersieht<\/h3>\n     <p class=\"sm-evidence__subtitle\">\n       Ein Nutzer hat zwei B\u00fccher hochgeladen und Grok gebeten, eine bestimmte Passage zu finden. Was dann geschah, zeigt, warum Workflows mit nur einer KI gef\u00e4hrlich sind.\n     <\/p>\n\n     <div class=\"sm-evidence__cards\">\n       <div class=\"sm-evidence__card\">\n         <div class=\"sm-evidence__card-head\">\n           <p class=\"sm-evidence__label\">Der Test<\/p>\n         <\/div>\n         <p class=\"sm-evidence__content\">\n           Der Nutzer gab Grok eine \u00fcberpr\u00fcfbare Aufgabe: Finde einen Satz in einem hochgeladenen Roman und setze den Absatz danach fort.\n         <\/p>\n         <p class=\"sm-evidence__detail sm-evidence__detail--test\">\n           \u201e\u2026es war klar, dass sie nicht aus strategischen Gr\u00fcnden versetzt wurden \u2013 aber\u201c\n         <\/p>\n         <p class=\"sm-evidence__detail-caption\">Setze hier fort. Der Absatz sollte erscheinen.<\/p>\n       <\/div>\n\n       <div class=\"sm-evidence__card sm-evidence__card--fabricated\">\n         <div class=\"sm-evidence__card-head\">\n           <p class=\"sm-evidence__label\">Grok<\/p>\n           <span class=\"sm-evidence__tag sm-evidence__tag--fabricated\">Erfunden<\/span>\n         <\/div>\n         <p class=\"sm-evidence__content\">\n           Grok produzierte einen fl\u00fcssigen, \u00fcberzeugenden Absatz in Warhammer-Prosa. Er verwies auf Charaktere, Orte und Themen aus den B\u00fcchern. Er las sich wie ein direktes Zitat.\n         <\/p>\n         <p class=\"sm-evidence__detail sm-evidence__detail--fabricated\">\n           Er stand nicht im Buch. Grok hat ihn geschrieben und als abgerufenen Text pr\u00e4sentiert.\n         <\/p>\n       <\/div>\n\n       <div class=\"sm-evidence__card sm-evidence__card--caught\">\n         <div class=\"sm-evidence__card-head\">\n           <p class=\"sm-evidence__label\">Claude<\/p>\n           <span class=\"sm-evidence__tag sm-evidence__tag--caught\">Ertappt<\/span>\n         <\/div>\n         <p class=\"sm-evidence__content\">\n           Claude f\u00fchrte 8 \u00dcberpr\u00fcfungssuchen durch. Null Ergebnisse. Dann identifizierte es vier Anzeichen, die die Erfindung bewiesen: Verweis auf den eigenen Gespr\u00e4chsrahmen, generische Formulierungen, kein Seitenverweis und vermischtes Zitat\/Interpretation.\n         <\/p>\n         <p class=\"sm-evidence__detail sm-evidence__detail--caught\">\n           Urteil: \u201eStille Konfabulation, als quellengest\u00fctzte Daten getarnt.\u201c\n         <\/p>\n       <\/div>\n     <\/div>\n\n     <div class=\"hero-cta-group\" style=\"margin-top: 40px;\">\n     <p class=\"sm-evidence__link-wrap\">\n   <a class=\"btn-primary\" style=\"color:#0a0a0a;\" href=\"https:\/\/suprmind.ai\/hub\/wp-content\/uploads\/2026\/06\/grok-hallucination.png\" data-sm-lightbox>\n     <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\">\n       <path d=\"M15 3h6v6\"\/><path d=\"M9 21H3v-6\"\/><path d=\"M21 3l-7 7\"\/><path d=\"M3 21l7-7\"\/>\n     <\/svg>\n     Sehen Sie sich das vollst\u00e4ndige Gespr\u00e4ch an\n      <\/a>\n     <\/p>\n     <\/div>\n\n <div class=\"sm-lightbox\" id=\"smLightbox\" aria-hidden=\"true\">\n   <button class=\"sm-lightbox__close\" type=\"button\" aria-label=\"Schlie\u00dfen\">&times;<\/button>\n   <img decoding=\"async\" class=\"sm-lightbox__img\" src=\"\" alt=\"Das vollst\u00e4ndige Grok-Gespr\u00e4ch: Grok erfindet eine Warhammer-Passage, Claude entlarvt sie.\" \/>\n <\/div>\n     <div class=\"sm-evidence__caption\">\n       <p class=\"sm-evidence__caption-line1\">\n         Dies ist ein echtes Gespr\u00e4ch aus einer echten Suprmind-Sitzung. Keine Demo. Kein Gedankenspiel. Eine KI hat erfunden. Eine andere hat es erkannt. Im selben Gespr\u00e4ch, direkt vor dem Nutzer.\n       <\/p>\n       <p class=\"sm-evidence__caption-line2\">\n         Mit einer einzelnen KI h\u00e4tten Sie eine \u00fcberzeugende L\u00fcge und keinen Grund, sie anzuzweifeln.\n       <\/p>\n     <\/div>\n   <\/div>\n <\/section>\n\n \n <\/section>\n\n <section style=\"padding-top: 50px;\">\n <div style=\"max-width: 800px; margin: 0 auto;\">\n     <h2 style=\"text-align:center; max-width:700px; margin:0 auto 24px; font-size:2rem; line-height:1.3;\">Sehen Sie, warum es f\u00fcr KI-Modelle schwer ist,<br \/>auf unserer Plattform zu halluzinieren<\/h2>\n\n <p style=\"text-align:center; font-size: 17px;\">Die interaktive 90-Sekunden-Demo l\u00e4uft direkt hier auf der Seite \u2013 scrollen Sie nach unten zum Pausieren, scrollen Sie zur\u00fcck nach oben zum Fortsetzen. Klicken Sie auf die orangefarbene Stopp-Schaltfl\u00e4che, um sie zu beenden und alles zu erkunden, was \u00fcber Chat, Scribe, Adjutant und Master Document geschehen ist.<\/p>\n <\/div>\n <\/section>\n     <style>@media (max-width: 768px){#suprmind-demo{margin-left:calc(-1 * var(--suprmind-demo-mobile-bleed, 8px))!important;margin-right:calc(-1 * var(--suprmind-demo-mobile-bleed, 8px))!important;width:calc(100% + var(--suprmind-demo-mobile-bleed, 8px) * 2)!important;}}<\/style><div id=\"suprmind-demo\" style=\"width:100%; overflow:hidden;\"><\/div>\n\n\n <section style=\"padding: 80px 110px;\">\n     <div style=\"max-width: 1000px; margin: 0 auto;\">\n         <div style=\"text-align: center;\">\n             <div class=\"section-label\">Das Modellproblem<\/div>\n             <h2>Jeder Benchmark k\u00fcrt einen anderen Sieger. <br>Keiner bleibt lange an der Spitze.<\/h2>\n         <\/div>\n\n         <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 40px 0 24px 0;\">\n             Viele suchen nach dem einen sicheren Modell. Das Problem: Das sicherste Modell dieses Monats ist nicht das sicherste im n\u00e4chsten. Der Titel wechselt mit fast jedem Release zwischen Claude, GPT, Gemini und Grok, und wer vorne liegt, h\u00e4ngt ganz davon ab, welchen Test Sie lesen. Vectara misst die Treue zur Quelle. AA-Omniscience misst, ob ein Modell wei\u00df, was es nicht wei\u00df. FACTS, HalluHard und CJR messen jeweils wieder etwas anderes. F\u00fcnf Tests, f\u00fcnf Ranglisten.\n         <\/p>\n\n         <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 40px 0;\">\n             Gehen Sie eine beliebige Spalte unten durch und sehen Sie, wie der Spitzenreiter wechselt.\n         <\/p>\n\n         <div id=\"benchmark-table\" style=\"width: min(1350px, 94vw); margin: 56px 0 56px calc(50% - min(675px, 47vw));\">\n             <div style=\"text-align: center; max-width: 800px; margin: 0 auto 8px;\">\n                 <h2 style=\"font-size: 1.6rem; line-height: 1.35; margin: 0 0 14px 0; color: #fff;\">Niedrigste Halluzinationsrate nach Benchmark, September 2026<\/h2>\n                 <p style=\"font-size: 16px; line-height: 1.6; color: rgba(255,255,255,0.65); margin: 0;\">Der Beweis, Modell f\u00fcr Modell \u2013 jeder Benchmark k\u00fcrt einen anderen Sieger. Dieselbe benchmark\u00fcbergreifende Referenz, die wir auf unserer <a href=\"https:\/\/suprmind.ai\/hub\/de\/ki-halluzinationsstatistiken-forschungsbericht-2026\/\" style=\"color: #c4b5fd; text-decoration: underline;\">Seite zur Halluzinationsforschung<\/a> pflegen \u2013 jedes f\u00fchrende Modell in jedem wichtigen Benchmark, monatlich aktualisiert. Gehen Sie eine beliebige Spalte durch und sehen Sie, wie der Spitzenreiter wechselt.<\/p>\n             <\/div>\n             <div class=\"shm-clamp\">\n <!-- ============================================================\n  Suprmind component: hallu-mega-table.html\n  SINGLE SOURCE OF TRUTH for the frontier-model cross-benchmark\n  hallucination table (the mega table).\n  Rendered in two places:\n    1. \/hub\/ai-hallucination-rates-and-benchmarks\/  (PHP include in the template)\n    2. \/hub\/lowest-hallucination-ai\/                ([sm_hallu_mega] shortcode)\n  Monthly refresh ritual (ONE file, both pages update):\n    1. Edit the table rows + source note below.\n    2. Bump SM_COMPONENTS_VERSION in child theme functions.php\n       (clears the shortcode transient; the PHP include is always fresh).\n    3. Purge Swift Performance cache in wp-admin.\n    4. Purge Cloudflare for both page URLs (CF caches hub HTML).\n  Do NOT add page headings here - each page brings its own.\n  Styles are scoped under .sm-hallu-mega and mirror the research\n  template values, so the table renders identically on both pages.\n\n  LAST UPDATED: October 7, 2026\n  October 7, 2026 changes: HalluHard column refreshed from halluhard.com (GPT-6 Astra 27.2%,\n  Claude Fable 5 38.9%, both on HalluHard's updated question set, marked with a dagger. Claude\n  Opus 4.5 30% -> 30.2%). Five cells that held another model's score, or a score that does not\n  exist, blanked: Vectara (New) o3-mini-high 4.8% and Gemini 2.0 Flash 3.3% (neither model was\n  ever on the new board), FACTS o3-mini-high 52.0 (o3's score), GPT-5.2 61.8 (GPT-5's score) and\n  Grok 4.1 Fast 36.0 (Grok 4 Fast's score). GPT-5 Vectara (New) >10% -> 15.1% (high). Four blank\n  Vectara cells filled from the boards: Claude 4.1 Opus 4.2%, Claude Sonnet 4.5 5.5% and Claude\n  4.5 Haiku 4.5% (original dataset), GPT-5.1 12.1% (new dataset, high).\n  Gemini 4 Argon label now reads \"not yet publicly available\". Rows rendered from\n  hallucination.json by hall_build.py; colour classes from hall_rules.py.\n  October 7, 2026: Claude 4.1 Opus AA-Omni Hall cell blanked (the 0% had no source, AA's launch\n  analysis gave 48%, and the model is off the current board).\n  October 2026 changes: GPT-6 Astra, GPT-6.1 Sol, GPT-6 Sol, GPT-6 Luna, Claude Fable 5.1,\n  Claude Opus 5.5, Claude Sonnet 5.5, Gemini 4 Argon (restricted access), Gemini 3.8 Flash,\n  Gemini 3.5 Flash-Lite, Grok 4.7, Muse Spark 1.3, Qwen3.8 Max (0902) and DeepSeek V4.1 Flash\n  added. All new AA-Omniscience values read from AA's own model records on Oct 4, 2026.\n  Vectara (New) filled from the Sep 22, 2026 board: GPT-6 Astra, GPT-6 Sol, GPT-5.6 Sol,\n  plus Opus 4.7, Opus 4.5, Gemini 3 Flash (on the board since April). Grok 4.1 Fast\n  Vectara corrected 20.2% -> 19.2% (20.2% is Grok 4 Fast). Same day, every pre-existing row\n  with AA data was re-checked against AA's records: 30 rows corrected or completed to\n  AA's current scores (configs named in the source note).\n  August 2026 changes: Claude Opus 5, Grok 4.6, Gemini 3.7 Flash, Muse Spark 1.2,\n  GLM-5.3, Qwen3.8 Max Preview and DeepSeek V4 Pro 0813 (GA) added.\n  Claude Fable 5 re-scored (65% \/ 63.6% \/ 43). GPT-5.6 Sol, Terra and Luna filled in.\n  Claude Sonnet 5 updated, provisional marker removed. Claude 4.1 Opus and\n  Sonnet 4.5 Vectara new-dataset cells filled from the May 11, 2026 board.\n  AA-Omniscience rows for 2026 flagships = August 26-27, 2026 AA-synced snapshot.\n  Rows that pre-date August keep their launch figures (see source note).\n  July 2026 additions: Claude Fable 5, Claude Sonnet 5, GPT-5.6 Sol\/Terra\/Luna,\n  Grok 4.5, Kimi K3, Muse Spark 1.1, Command A+, Qwen3.7 Max.\n============================================================ -->\n<div class=\"sm-hallu-mega\">\n<style>\n.sm-hallu-mega{--shm-bg:#05020b;--shm-bg-th:rgba(255,255,255,0.06);--shm-row-alt:rgba(255,255,255,0.02);--shm-border:rgba(255,255,255,0.08);--shm-text:#ffffff;--shm-body:rgba(255,255,255,0.75);--shm-muted:rgba(255,255,255,0.45);--shm-green:#22c55e;--shm-yellow:#eab308;--shm-orange:#f97316;--shm-red:#ef4444;}\n.sm-hallu-mega .hall-table-wrap{max-width:100%;overflow-x:auto;-webkit-overflow-scrolling:touch;margin:32px 0;border-radius:12px;border:1px solid var(--shm-border);}\n.sm-hallu-mega .hall-table{width:100%;border-collapse:collapse;font-size:16px;line-height:1.5;}\n.sm-hallu-mega .hall-table thead th{background:var(--shm-bg-th);padding:10px 12px;font-weight:600;color:var(--shm-text);text-align:left;white-space:normal;line-height:1.3;position:sticky;top:0;z-index:2;border-bottom:1px solid var(--shm-border);}\n.sm-hallu-mega .hall-table thead th:not(:first-child){text-align:center;}\n.sm-hallu-mega .hall-table tbody td{padding:10px 12px;border-bottom:1px solid rgba(255,255,255,0.04);color:var(--shm-body);}\n.sm-hallu-mega .hall-table tbody td:first-child{color:var(--shm-text);font-weight:500;white-space:normal;line-height:1.35;}\n.sm-hallu-mega .hall-table tbody td:not(:first-child){text-align:center;}\n.sm-hallu-mega .hall-table tbody tr:nth-child(even){background:var(--shm-row-alt);}\n.sm-hallu-mega .hall-table tbody tr:hover{background:rgba(255,255,255,0.04);}\n.sm-hallu-mega .mega-table-wrap{position:relative;}\n.sm-hallu-mega .mega-table tbody td:first-child,.sm-hallu-mega .mega-table thead th:first-child{position:sticky;left:0;z-index:3;background:var(--shm-bg);min-width:150px;}\n.sm-hallu-mega .mega-table thead th:first-child{background:#100c17;z-index:4;}\n.sm-hallu-mega .mega-table tbody tr:nth-child(even) td:first-child{background:#0a0612;}\n.sm-hallu-mega .cell-green{color:var(--shm-green);font-weight:600;}\n.sm-hallu-mega .cell-yellow{color:var(--shm-yellow);font-weight:600;}\n.sm-hallu-mega .cell-orange{color:var(--shm-orange);font-weight:600;}\n.sm-hallu-mega .cell-red{color:var(--shm-red);font-weight:600;}\n.sm-hallu-mega .cell-muted{color:var(--shm-muted);}\n.sm-hallu-mega .cell-bold{font-weight:700;}\n.sm-hallu-mega .source-note{font-size:15px;font-style:italic;color:var(--shm-muted);margin:16px 0 0;line-height:1.6;}\n<\/style>\n        <div class=\"hall-table-wrap mega-table-wrap\">\n            <table class=\"hall-table mega-table\">\n                <thead>\n                    <tr>\n                        <th>Model<\/th>\n                        <th>Provider<\/th>\n                        <th>Vectara (Old)<\/th>\n                        <th>Vectara (New)<\/th>\n                        <th>AA-Omni Acc<\/th>\n                        <th>AA-Omni Hall<\/th>\n                        <th>AA-Omni Index<\/th>\n                        <th>FACTS<\/th>\n                        <th>HalluHard<\/th>\n                        <th>CJR Citation<\/th>\n                    <\/tr>\n                <\/thead>\n                <tbody>\n                    <tr>\n                        <td>GPT-6 Astra (max)<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">8.7%<\/td>\n                        <td class=\"cell-green cell-bold\">62.6%<\/td>\n                        <td class=\"cell-red\">51.3%<\/td>\n                        <td class=\"cell-green cell-bold\">43.4<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green cell-bold\">27.2%&dagger;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-6.1 Sol (max)<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green cell-bold\">62.1%<\/td>\n                        <td class=\"cell-red\">54.3%<\/td>\n                        <td class=\"cell-green cell-bold\">41.5<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-6 Sol (max)<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">6.5%<\/td>\n                        <td class=\"cell-green\">54.5%<\/td>\n                        <td class=\"cell-red\">60.1%<\/td>\n                        <td class=\"cell-green\">27.1<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-6 Luna (max)<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">43.8%<\/td>\n                        <td class=\"cell-red\">76.7%<\/td>\n                        <td class=\"cell-yellow\">0.7<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-5.6 Sol (max)<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">12.4%<\/td>\n                        <td class=\"cell-green\">59.4%<\/td>\n                        <td class=\"cell-red\">92.2%<\/td>\n                        <td class=\"cell-green\">22.0<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-5.6 Terra<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">46.8%<\/td>\n                        <td class=\"cell-red\">87.9%<\/td>\n                        <td class=\"cell-yellow\">0.1<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-5.6 Luna<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">42.7%<\/td>\n                        <td class=\"cell-red\">92.6%<\/td>\n                        <td class=\"cell-red\">-10.3<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-5.3 Codex (xhigh)<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">52.9%<\/td>\n                        <td class=\"cell-red\">89.2%<\/td>\n                        <td class=\"cell-green\">10.9<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-5.5 (xhigh)<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">9.3%<\/td>\n                        <td class=\"cell-green\">58.0%<\/td>\n                        <td class=\"cell-red\">89.0%<\/td>\n                        <td class=\"cell-green\">20.5<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-5.4 nano<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">3.1%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-5.2 (xhigh)<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">10.8%<\/td>\n                        <td class=\"cell-yellow\">44.3%<\/td>\n                        <td class=\"cell-red\">81.2%<\/td>\n                        <td class=\"cell-red\">-0.9<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">38.2%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-5<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-green\">1.4%<\/td>\n                        <td class=\"cell-orange\">15.1%<\/td>\n                        <td class=\"cell-yellow\">40.3%<\/td>\n                        <td class=\"cell-red\">82.2%<\/td>\n                        <td class=\"cell-red\">-8.7<\/td>\n                        <td class=\"cell-green\">61.8<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-5.1<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">12.1%<\/td>\n                        <td class=\"cell-yellow\">37.7%<\/td>\n                        <td class=\"cell-red\">51.9%<\/td>\n                        <td class=\"cell-yellow\">5.4<\/td>\n                        <td class=\"cell-yellow\">49.4<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GPT-4.1<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-green\">2.0%<\/td>\n                        <td class=\"cell-green\">5.6%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">50.5<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>o3-mini-high<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-green cell-bold\">0.8%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude Fable 5.1 (max)<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green cell-bold\">67.2%<\/td>\n                        <td class=\"cell-red\">72.6%<\/td>\n                        <td class=\"cell-green cell-bold\">43.5<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude Opus 5.5 (max)<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green cell-bold\">66.2%<\/td>\n                        <td class=\"cell-red\">58.6%<\/td>\n                        <td class=\"cell-green cell-bold\">46.4<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude Sonnet 5.5 (max)<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">53.9%<\/td>\n                        <td class=\"cell-yellow\">47.0%<\/td>\n                        <td class=\"cell-green\">32.3<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude Fable 5 <br>(max, Opus 4.8 fallback)<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green cell-bold\">65%<\/td>\n                        <td class=\"cell-red\">63.6%<\/td>\n                        <td class=\"cell-green cell-bold\">43<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">38.9%&dagger;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude Opus 5 (max)<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green cell-bold\">61%<\/td>\n                        <td class=\"cell-red\">60.8%<\/td>\n                        <td class=\"cell-green cell-bold\">37<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude Sonnet 5 (max)<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">40.1%<\/td>\n                        <td class=\"cell-yellow\">39.4%<\/td>\n                        <td class=\"cell-green\">16.5<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude 4.1 Opus<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-green\">4.2%<\/td>\n                        <td class=\"cell-yellow\">11.8%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">46.5<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude Opus 4.8<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">48.8%<\/td>\n                        <td class=\"cell-yellow\">39.3%<\/td>\n                        <td class=\"cell-green\">28.8<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude Opus 4.7<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">12.0%<\/td>\n                        <td class=\"cell-yellow\">48.9%<\/td>\n                        <td class=\"cell-yellow\">42.3%<\/td>\n                        <td class=\"cell-green\">27.3<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude Opus 4.6<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">12.2%<\/td>\n                        <td class=\"cell-yellow\">47.0%<\/td>\n                        <td class=\"cell-red\">62.8%<\/td>\n                        <td class=\"cell-green\">13.7<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude Opus 4.5<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">10.9%<\/td>\n                        <td class=\"cell-yellow\">46.6%<\/td>\n                        <td class=\"cell-red\">61.0%<\/td>\n                        <td class=\"cell-green\">14.0<\/td>\n                        <td class=\"cell-yellow\">51.3<\/td>\n                        <td class=\"cell-green cell-bold\">30.2%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude Sonnet 4.6<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">10.6%<\/td>\n                        <td class=\"cell-yellow\">40.9%<\/td>\n                        <td class=\"cell-yellow\">48.4%<\/td>\n                        <td class=\"cell-green\">12.2<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude Sonnet 4.5<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-yellow\">5.5%<\/td>\n                        <td class=\"cell-yellow\">12.0%<\/td>\n                        <td class=\"cell-orange\">32.9%<\/td>\n                        <td class=\"cell-yellow\">49.1%<\/td>\n                        <td class=\"cell-red\">-0.1<\/td>\n                        <td class=\"cell-yellow\">49.1<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude 3.7 Sonnet<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-green\">4.4%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Claude 4.5 Haiku<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-green\">4.5%<\/td>\n                        <td class=\"cell-yellow\">9.8%<\/td>\n                        <td class=\"cell-red\">14.4%<\/td>\n                        <td class=\"cell-green\">25.7%<\/td>\n                        <td class=\"cell-red\">-7.6<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Gemini 4 Argon (high) <br>(not yet publicly available)<\/td>\n                        <td>Google<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">49.9%<\/td>\n                        <td class=\"cell-green cell-bold\">15.1%<\/td>\n                        <td class=\"cell-green cell-bold\">42.4<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Gemini 3.1 Pro<\/td>\n                        <td>Google<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">10.4%<\/td>\n                        <td class=\"cell-green\">54.9%<\/td>\n                        <td class=\"cell-red\">50.9%<\/td>\n                        <td class=\"cell-green\">31.9<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Gemini 3.8 Flash (high)<\/td>\n                        <td>Google<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">54.6%<\/td>\n                        <td class=\"cell-red\">55.2%<\/td>\n                        <td class=\"cell-green\">29.6<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Gemini 3.7 Flash (high)<\/td>\n                        <td>Google<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">55.3%<\/td>\n                        <td class=\"cell-red\">64.5%<\/td>\n                        <td class=\"cell-green\">26.5<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Gemini 3.5 Flash (high)<\/td>\n                        <td>Google<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">51.4%<\/td>\n                        <td class=\"cell-red\">62.2%<\/td>\n                        <td class=\"cell-green\">21.2<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Gemini 3.5 Flash-Lite<\/td>\n                        <td>Google<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-orange\">29.5%<\/td>\n                        <td class=\"cell-yellow\">34.4%<\/td>\n                        <td class=\"cell-yellow\">5.2<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Gemini 3 Pro<\/td>\n                        <td>Google<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">13.6%<\/td>\n                        <td class=\"cell-green\">55.8%<\/td>\n                        <td class=\"cell-red\">91.5%<\/td>\n                        <td class=\"cell-green\">15.3<\/td>\n                        <td class=\"cell-green cell-bold\">68.8<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Gemini 3 Flash<\/td>\n                        <td>Google<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">13.5%<\/td>\n                        <td class=\"cell-green\">53.4%<\/td>\n                        <td class=\"cell-red\">93.0%<\/td>\n                        <td class=\"cell-green\">10.1<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Gemini 2.5 Pro<\/td>\n                        <td>Google<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">7.0%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">62.1<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Gemini 2.0 Flash<\/td>\n                        <td>Google<\/td>\n                        <td class=\"cell-green cell-bold\">0.7%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Grok 4.7 (xhigh)<\/td>\n                        <td>xAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">47.4%<\/td>\n                        <td class=\"cell-green\">29.3%<\/td>\n                        <td class=\"cell-green\">32.0<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Grok 4.6 (high)<\/td>\n                        <td>xAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">48.2%<\/td>\n                        <td class=\"cell-yellow\">34.3%<\/td>\n                        <td class=\"cell-green\">30.5<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Grok 4.5 (high)<\/td>\n                        <td>xAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">51.6%<\/td>\n                        <td class=\"cell-red\">54.1%<\/td>\n                        <td class=\"cell-green\">25.3<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Grok 4.3 (high)<\/td>\n                        <td>xAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-orange\">34.8%<\/td>\n                        <td class=\"cell-green\">25.8%<\/td>\n                        <td class=\"cell-green\">18.0<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Grok 4.3 (medium)<\/td>\n                        <td>xAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-orange\">28.8%<\/td>\n                        <td class=\"cell-green\">16.9%<\/td>\n                        <td class=\"cell-green\">16.7<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Grok 4.20 (Reasoning)<\/td>\n                        <td>xAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-orange\">27.5%<\/td>\n                        <td class=\"cell-green\">17.4%<\/td>\n                        <td class=\"cell-green\">14.8<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Grok 4.1 Fast<\/td>\n                        <td>xAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-red\">19.2%<\/td>\n                        <td class=\"cell-orange\">25.1%<\/td>\n                        <td class=\"cell-red\">73.4%<\/td>\n                        <td class=\"cell-red\">-29.9<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Grok 4<\/td>\n                        <td>xAI<\/td>\n                        <td class=\"cell-green\">4.8%<\/td>\n                        <td class=\"cell-yellow\">&gt;10%<\/td>\n                        <td class=\"cell-yellow\">40.5%<\/td>\n                        <td class=\"cell-red\">64.5%<\/td>\n                        <td class=\"cell-yellow\">2.1<\/td>\n                        <td class=\"cell-yellow\">53.6<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Grok-3<\/td>\n                        <td>xAI<\/td>\n                        <td class=\"cell-green\">2.1%<\/td>\n                        <td class=\"cell-green\">5.8%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-red\">94%<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Perplexity Sonar Pro<\/td>\n                        <td>Perplexity<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green cell-bold\">37%<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>DeepSeek V4 Pro 0813 (GA)<\/td>\n                        <td>DeepSeek<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">49.1%<\/td>\n                        <td class=\"cell-red\">94.8%<\/td>\n                        <td class=\"cell-yellow\">0.8<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>DeepSeek V4 Pro (preview)<\/td>\n                        <td>DeepSeek<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">8.6%<\/td>\n                        <td class=\"cell-yellow\">43.0%<\/td>\n                        <td class=\"cell-red\">94.1%<\/td>\n                        <td class=\"cell-red\">-10.7<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>DeepSeek V4.1 Flash (max)<\/td>\n                        <td>DeepSeek<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">46.4%<\/td>\n                        <td class=\"cell-red\">96.5%<\/td>\n                        <td class=\"cell-red\">-5.3<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>DeepSeek V4 Flash (0420)<\/td>\n                        <td>DeepSeek<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">36.8%<\/td>\n                        <td class=\"cell-red\">96.1%<\/td>\n                        <td class=\"cell-red\">-23.9<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>DeepSeek-V3<\/td>\n                        <td>DeepSeek<\/td>\n                        <td class=\"cell-green\">3.9%<\/td>\n                        <td class=\"cell-green\">6.1%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>DeepSeek-R1<\/td>\n                        <td>DeepSeek<\/td>\n                        <td class=\"cell-orange\">14.3%<\/td>\n                        <td class=\"cell-yellow\">11.3%<\/td>\n                        <td class=\"cell-orange\">30.5%<\/td>\n                        <td class=\"cell-red\">83.4%<\/td>\n                        <td class=\"cell-red\">-27.4<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Kimi K3 (max)<\/td>\n                        <td>Moonshot<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">47.6%<\/td>\n                        <td class=\"cell-red\">53.2%<\/td>\n                        <td class=\"cell-green\">19.7<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>GLM-5.3 (max)<\/td>\n                        <td>Z.ai<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-orange\">33.9%<\/td>\n                        <td class=\"cell-green\">29.6%<\/td>\n                        <td class=\"cell-green\">14.3<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Command A+<\/td>\n                        <td>Cohere<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-red\">9%<\/td>\n                        <td class=\"cell-green cell-bold\">14%<\/td>\n                        <td class=\"cell-red\">-4<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Qwen3.8 Max (0902)<\/td>\n                        <td>Alibaba<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-orange\">31.7%<\/td>\n                        <td class=\"cell-green\">28.8%<\/td>\n                        <td class=\"cell-green\">12.0<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Qwen3.8 Max Preview<\/td>\n                        <td>Alibaba<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-orange\">31.9%<\/td>\n                        <td class=\"cell-yellow\">41.7%<\/td>\n                        <td class=\"cell-yellow\">3.4<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Qwen3.7 Max<\/td>\n                        <td>Alibaba<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-orange\">31.1%<\/td>\n                        <td class=\"cell-green\">25.6%<\/td>\n                        <td class=\"cell-green\">13.5<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Muse Spark 1.3 (max)<\/td>\n                        <td>Meta<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">43.6%<\/td>\n                        <td class=\"cell-yellow\">32.9%<\/td>\n                        <td class=\"cell-green\">25.0<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Muse Spark 1.2 (xhigh)<\/td>\n                        <td>Meta<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">45.4%<\/td>\n                        <td class=\"cell-yellow\">33.3%<\/td>\n                        <td class=\"cell-green\">27.2<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Muse Spark 1.1 (xhigh)<\/td>\n                        <td>Meta<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">52.1%<\/td>\n                        <td class=\"cell-red\">50.0%<\/td>\n                        <td class=\"cell-green\">28.1<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                    <tr>\n                        <td>Llama 4 Maverick<\/td>\n                        <td>Meta<\/td>\n                        <td class=\"cell-green\">4.6%<\/td>\n                        <td class=\"cell-yellow\">8.2%<\/td>\n                        <td class=\"cell-red\">24.9%<\/td>\n                        <td class=\"cell-red\">88.9%<\/td>\n                        <td class=\"cell-red\">-41.9<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                    <\/tr>\n                <\/tbody>\n            <\/table>\n        <\/div>\n        <p class=\"source-note\">Sources: Vectara HHEM Leaderboard (archived original dataset, last updated October 16, 2025, and the new 7,700-article dataset, snapshot September 22, 2026, which added GPT-6 Astra, GPT-6 Sol and GPT-5.6 Sol) <sup><a href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/#ref-1\">[1]<\/a><a href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/#ref-100\">[100]<\/a><\/sup>, Artificial Analysis AA-Omniscience <sup><a href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/#ref-2\">[2]<\/a><a href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/#ref-64\">[64]<\/a><a href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/#ref-72\">[72]<\/a><a href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/#ref-88\">[88]<\/a><\/sup>, Google DeepMind FACTS Suite, December 2025 launch table (the 2026 Kaggle board scores search with a revised component, FACTS Search V2, and is not directly comparable) <sup><a href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/#ref-3\">[3]<\/a><\/sup>, HalluHard leaderboard with web search, read October 7, 2026 (&dagger; = HalluHard's updated question set) <sup><a href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/#ref-5\">[5]<\/a><\/sup>, Columbia Journalism Review (March 2025) <sup><a href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/#ref-6\">[6]<\/a><\/sup>. Every AA-Omniscience value in the table was read from Artificial Analysis's own model records on October 4, 2026. That includes rows first published earlier, which were updated wherever AA has since re-scored them (for example Gemini 3 Pro hallucination 88% to 91.5%, GPT-5.1 81% to 51.9%, Claude Opus 4.7 36% to 42.3%). Every row was checked for internal consistency (Index equals correct minus incorrect). Where a row names no configuration, the AA configuration matching the originally published figure is used: GPT-5 and GPT-5.1 high, Claude Opus 4.7, Opus 4.6 and Sonnet 4.6 max, Claude Opus 4.5 and Sonnet 4.5 reasoning, Claude 4.5 Haiku non-reasoning, Gemini 3 Flash reasoning, Grok 4.20 0309 v2 and Grok 4.1 Fast reasoning, DeepSeek R1 0528. The Claude Fable 5.1, Opus 5.5 and Sonnet 5.5 rows are AA's max-with-fallback runs. GPT-6 Astra is shown at max. Its high configuration is better calibrated, at 61.1% \/ 44.8% \/ 43.7. Gemini 4 Argon is not yet publicly available: Google announced it on September 30, 2026 and is giving access to an initial group of cyber defenders first. Claude 4.1 Opus's AA-Omniscience cells are blank because AA no longer lists the model. Earlier versions of this table showed a 0% hallucination rate for it, which no source supports (AA's launch analysis gave 48%). Grok 4.3 is shown in two configurations. Medium attempts fewer questions, which lowers both accuracy and hallucination. DeepSeek V4 Pro is shown twice because the April preview (0424 build) and the August 13 GA build are different checkpoints. Other benchmarks may test a different setting from the AA configuration named in a row: GPT-5.2's Vectara figure is its high setting, the DeepSeek-R1 row's Vectara figures are the original R1 release while its AA figures are the 0528 build, and HalluHard ran GPT-6 Astra at medium thinking and Claude Fable 5 with adaptive thinking. Corrections, October 7, 2026: o3-mini-high and Gemini 2.0 Flash have never been on Vectara's new-dataset board, so their Vectara (New) cells now show a dash, and the FACTS cells for o3-mini-high, GPT-5.2 and Grok 4.1 Fast are now blank because the figures shown before belonged to o3, GPT-5 and Grok 4 Fast. GPT-5's Vectara (New) cell now shows its board figure, 15.1%. Four blank Vectara cells were filled from the boards: Claude 4.1 Opus 4.2%, Claude Sonnet 4.5 5.5% and Claude 4.5 Haiku 4.5% on the original dataset, GPT-5.1 12.1% on the new one. Grok 4's \"&gt;10%\" comes from Vectara's November 2025 launch post, and the model itself is not on the board. Grok 4.1 Fast's Vectara figure was corrected on October 4, 2026 from 20.2% (Grok 4 Fast's score) to 19.2%. In the Vectara, FACTS and HalluHard columns, dashes mean no figure on the dataset, snapshot or setting that column uses (FACTS: the December 2025 launch table. HalluHard: with web search). In the AA-Omniscience columns, a dash means this table has no AA figure for that model.<\/p>\n<\/div>\n<script>\n\/* Clamp activator: runs ONLY when the page wraps the shortcode in\n   <div class=\"shm-clamp\"> (the lowest-hallucination-ai LP does).\n   On the research page there is no wrapper, so this is a no-op. *\/\n(function () {\n  var s = document.currentScript;\n  var wrap = s && s.closest ? s.closest('.shm-clamp') : null;\n  if (!wrap) return;\n  var mega = wrap.querySelector('.sm-hallu-mega');\n  if (!mega) return;\n  var rows = mega.querySelectorAll('tbody tr').length;\n  wrap.style.position = 'relative';\n  wrap.style.maxHeight = '680px';\n  wrap.style.overflow = 'hidden';\n  var fade = document.createElement('div');\n  fade.style.cssText = 'position:absolute;left:0;right:0;bottom:0;height:150px;background:linear-gradient(to bottom, rgba(5,2,11,0), rgba(5,2,11,0.97));pointer-events:none;';\n  wrap.appendChild(fade);\n  var btn = document.createElement('button');\n  btn.type = 'button';\n  btn.textContent = 'Show all ' + rows + ' models';\n  btn.style.cssText = 'display:block;margin:18px auto 0;padding:12px 28px;font-size:15px;font-weight:600;color:#fff;background:transparent;border:1px solid rgba(255,255,255,0.25);border-radius:8px;cursor:pointer;';\n  wrap.parentNode.insertBefore(btn, wrap.nextSibling);\n  var open = false;\n  btn.addEventListener('click', function () {\n    open = !open;\n    wrap.style.maxHeight = open ? 'none' : '680px';\n    wrap.style.overflow = open ? 'visible' : 'hidden';\n    fade.style.display = open ? 'none' : 'block';\n    btn.textContent = open ? 'Collapse the table' : 'Show all ' + rows + ' models';\n    if (!open && wrap.scrollIntoView) { wrap.scrollIntoView({ behavior: 'smooth', block: 'start' }); }\n  });\n})();\n<\/script>\n             <\/div>\n         <\/div>\n\n         <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 40px 0 40px 0;\">\n             Alle paar Wochen ein neues Modell zu w\u00e4hlen, ist keine Strategie. Die dauerhafte L\u00f6sung: nicht l\u00e4nger auf ein einziges setzen. Lassen Sie die Frage durch alle f\u00fcnf gleichzeitig laufen, damit sich unterschiedliches Training, unterschiedliche Quellen und unterschiedliche blinde Flecken gegenseitig ausgleichen. Innerhalb von Suprmind entscheiden diese Benchmark-Werte, welches Modell welchen Platz einnimmt. Das ist eine Plattform, die Sie steuern \u2013 kein Modell, auf das Sie wetten.\n         <\/p>\n\n         <div style=\"padding: 32px 40px; border: 2px solid rgba(139, 92, 246, 0.35); border-radius: 12px; background: rgba(139, 92, 246, 0.04);\">\n             <p style=\"font-size: 17px; line-height: 1.7; color: rgba(255,255,255,0.85); margin: 0;\">\n                 <strong style=\"color: #fff;\">Wie wir externe Benchmarks behandeln:<\/strong> als Eingaben f\u00fcr die Modellauswahl innerhalb von Suprmind, nicht als Beweis daf\u00fcr, dass ein einzelnes Modell unfehlbar ist. Die vollst\u00e4ndige Benchmark-Methodik und die 2026-Ranglisten-Aufschl\u00fcsselungen finden Sie auf unserer Seite <a href=\"https:\/\/suprmind.ai\/hub\/de\/ki-halluzinationsstatistiken-forschungsbericht-2026\/\" style=\"color: #c4b5fd; text-decoration: underline;\">KI-Halluzinationsforschung und Benchmarks<\/a>.\n             <\/p>\n         <\/div>\n     <\/div>\n <\/section>\n\n <style>\n .sg-cta{\n   max-width:860px;\n   margin:56px auto;\n   padding:38px 40px;\n   text-align:center;\n   background:rgba(255,255,255,0.02);\n   border:1px solid rgba(255,255,255,0.08);\n   border-radius:16px;\n   box-sizing:border-box;\n   font-family:'Satoshi',-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,'Helvetica Neue',Arial,sans-serif;\n }\n .sg-cta:hover{border-color:rgba(139,92,246,0.35);}\n .sg-cta h2{\n   font-size:33px !important;\n   line-height:1.32 !important;\n   font-weight:700 !important;\n   color:#fafafa !important;\n   margin:0 0 14px 0 !important;\n   letter-spacing:-0.01em;\n }\n .sg-cta p.sg-cta__sub{\n   font-size:17px !important;\n   line-height:1.65 !important;\n   color:#a1a1aa !important;\n   max-width:740px;\n   margin:0 auto 26px auto !important;\n }\n .sg-cta__btn{\n   display:inline-flex;\n   align-items:center;\n   justify-content:center;\n   min-height:50px;\n   padding:14px 30px;\n   font-size:16px;\n   font-weight:600;\n   border-radius:10px;\n   color:#fafafa !important;\n   text-decoration:none !important;\n   background:linear-gradient(180deg,#1c1425 0%,#120c1a 100%);\n   border:1px solid rgba(139,92,246,0.55);\n   box-shadow:0 0 22px rgba(139,92,246,0.28);\n   transition:border-color .2s ease, box-shadow .2s ease;\n }\n .sg-cta__btn:hover{\n   border-color:rgba(139,92,246,0.9);\n   box-shadow:0 0 34px rgba(139,92,246,0.45);\n   color:#fafafa !important;\n }\n .sg-cta p.sg-cta__fine{\n   font-size:14px !important;\n   line-height:1.6 !important;\n   color:#71717a !important;\n   margin:22px 0 0 0 !important;\n }\n @media (max-width:767px){\n   .sg-cta{padding:30px 22px;margin:44px auto;}\n   .sg-cta h2{font-size:33px !important;}\n   .sg-cta p.sg-cta__sub{font-size:16px !important;}\n   .sg-cta__btn{width:100%;}\n }\n @media (prefers-reduced-motion:reduce){.sg-cta,.sg-cta__btn{transition:none !important;}}\n <\/style>\n\n     <div class=\"sg-cta\" data-cta-position=\"post-benchmark-table\" data-cta-provider=\"hallu-lp\">\n         <h2>Sie haben die Tabelle gelesen. Kein Modell gewinnt jede Spalte. <br>Setzen Sie nicht l\u00e4nger auf eine einzige Zeile.<\/h2>\n         <p class=\"sg-cta__sub\">Stellen Sie Ihre n\u00e4chste schwierige Frage in einem Gespr\u00e4ch, in dem Grok, GPT, Claude und Gemini die Antworten der anderen lesen und markieren, was nicht standh\u00e4lt. Das Setup mit der niedrigsten Halluzinationsrate ist kein Modell. Es ist eine Plattform.<\/p>\n         <a class=\"sg-cta__btn\" href=\"\/signup\/spark\" data-cta-position=\"post-benchmark-table\" data-cta-provider=\"hallu-lp\" data-cta-variant=\"no-single-winner\">Kostenlos testen<\/a>\n         <p class=\"sg-cta__fine\">7 Tage kostenlos. Keine Kreditkarte. Name, E-Mail, Passwort \u2013 rund zwanzig Sekunden.<\/p>\n     <\/div>\n\n <section style=\"padding: 100px 48px;\">\n   <div style=\"max-width: 1000px; margin: 0 auto;\">\n     <div style=\"text-align: center;\">\n       <div class=\"section-label\">Das Anti-Halluzinogen<\/div>\n       <h2>Das KI-Anti-Halluzinogen von Suprmind<\/h2>\n       <p style=\"font-size: 19px; line-height: 1.7; color: #9ca3af; max-width: 820px; margin: 16px auto 56px;\">\n         Ein zweistufiges System zur Eind\u00e4mmung von Halluzinationen. Die eine Ebene: f\u00fcnf Modelle, die sich gegenseitig bei Fehlern ertappen. Die andere: ein unabh\u00e4ngiger Pr\u00fcfer, der auff\u00e4ngt, was ihnen entgeht. Beide laufen bei jeder Frage.\n       <\/p>\n     <\/div>\n\n     <div style=\"border: 2px solid rgba(255,255,255,0.08); border-radius: 12px; padding: 40px; margin-bottom: 24px;\">\n       <div style=\"display: flex; align-items: center; gap: 12px; flex-wrap: wrap; margin-bottom: 20px;\">\n         <span style=\"font-size: 13px; font-weight: 600; letter-spacing: 0.08em; text-transform: uppercase; color: #9ca3af;\">Ebene 1 \u2013 Die Modelle korrigieren sich gegenseitig<\/span>\n         <span style=\"display: inline-flex; align-items: center; gap: 6px; font-size: 11px; font-weight: 600; letter-spacing: 0.08em; text-transform: uppercase; color: #22c55e; border: 1px solid rgba(34,197,94,0.4); border-radius: 99px; padding: 3px 10px;\"><span style=\"width: 6px; height: 6px; border-radius: 50%; background: #22c55e; display: inline-block;\"><\/span>Live<\/span>\n       <\/div>\n       <p style=\"font-size: 18px; line-height: 1.7; color: rgba(255,255,255,0.9); margin: 0 0 20px 0;\">\n         F\u00fcnf f\u00fchrende Modelle teilen sich ein Gespr\u00e4ch. Jedes liest alle Antworten davor. Nennt GPT eine Zahl, von der Claude wei\u00df, dass sie falsch ist, korrigiert Claude sie im selben Durchlauf und baut die Schlussfolgerung auf der richtigen Zahl neu auf. Widerspricht die quellenbasierte Recherche von Perplexity der Echtzeit-Einsch\u00e4tzung von Grok, landet dieser Konflikt direkt vor Ihnen, statt sich in einem Tab zu verstecken, den Sie nie ge\u00f6ffnet haben.\n       <\/p>\n       <p style=\"font-size: 18px; line-height: 1.7; color: rgba(255,255,255,0.9); margin: 0 0 24px 0;\">\n         Das ist Korrektur, kein Hinweis, dem Sie sp\u00e4ter nachgehen m\u00fcssen. Die falsche Behauptung wird angefochten und ersetzt, w\u00e4hrend Sie zusehen.\n       <\/p>\n       <div style=\"border-left: 2px solid #8b5cf6; background: rgba(139,92,246,0.05); padding: 18px 22px; border-radius: 0 8px 8px 0;\">\n         <p style=\"font-size: 16px; line-height: 1.6; color: #e5e7eb; margin: 0;\"><strong style=\"color: #fff;\">1.401 modell\u00fcbergreifende Korrekturen<\/strong> in 1.324 Produktionsdurchl\u00e4ufen. 99,1 % der Multi-KI-Durchl\u00e4ufe brachten mindestens einen Widerspruch, eine Korrektur oder einen Insight hervor, die einem einzelnen Modell entgangen waren.<\/p>\n       <\/div>\n     <\/div>\n\n     <div style=\"border: 2px solid rgba(255,255,255,0.08); border-radius: 12px; padding: 40px; margin-bottom: 48px;\">\n       <div style=\"display: flex; align-items: center; gap: 12px; flex-wrap: wrap; margin-bottom: 20px;\">\n         <span style=\"font-size: 13px; font-weight: 600; letter-spacing: 0.08em; text-transform: uppercase; color: #9ca3af;\">Ebene 2 \u2013 True North, der unabh\u00e4ngige Pr\u00fcfer<\/span>\n         <span style=\"display: inline-flex; align-items: center; gap: 6px; font-size: 11px; font-weight: 600; letter-spacing: 0.08em; text-transform: uppercase; color: #22c55e; border: 1px solid rgba(34,197,94,0.4); border-radius: 99px; padding: 3px 10px;\"><span style=\"width: 6px; height: 6px; border-radius: 50%; background: #22c55e; display: inline-block;\"><\/span>Live<\/span>\n       <\/div>\n       <p style=\"font-size: 18px; line-height: 1.7; color: rgba(255,255,255,0.9); margin: 0 0 20px 0;\">\n         Manche Fehler \u00fcberstehen die erste Ebene. Eine selbstsichere erste Antwort setzt den Anker f\u00fcr die vier folgenden. Mehrere Modelle st\u00fctzen sich auf dieselbe veraltete Quelle. Manchmal bemerkt es schlicht niemand. True North ist genau f\u00fcr diese F\u00e4lle gebaut \u2013 und wartet nicht, bis man es darum bittet.\n       <\/p>\n       <p style=\"font-size: 18px; line-height: 1.7; color: rgba(255,255,255,0.9); margin: 0 0 28px 0;\">\n         W\u00e4hrend jedes Modell arbeitet, pr\u00fcft True North in Echtzeit jede risikobehaftete Aussage \u2013 Zahlen, Daten, Eigennamen, Zitate, rechtliche und finanzielle Angaben \u2013 gegen aktuelle Quellen im Web und die Dokumente in Ihrem Projekt. Es l\u00e4uft au\u00dferhalb der f\u00fcnf Modelle, damit niemand seine eigenen Hausaufgaben benotet.\n       <\/p>\n\n       <div style=\"display: flex; flex-wrap: wrap; gap: 14px; margin: 0 0 28px 0;\">\n         <div style=\"flex: 1 1 220px; border: 1px solid rgba(255,255,255,0.1); border-radius: 10px; padding: 18px 20px; background: rgba(255,255,255,0.02);\">\n           <span style=\"font-size: 12px; font-weight: 700; color: #71717a;\">01<\/span>\n           <p style=\"font-size: 15px; font-weight: 700; letter-spacing: 0.06em; color: #fff; margin: 6px 0 4px 0;\">ANALYSIEREN<\/p>\n           <p style=\"font-size: 14px; line-height: 1.5; color: #9ca3af; margin: 0;\">W\u00e4hlt die pr\u00fcfenswerten Aussagen aus<\/p>\n         <\/div>\n         <div style=\"flex: 1 1 220px; border: 1px solid rgba(255,255,255,0.1); border-radius: 10px; padding: 18px 20px; background: rgba(255,255,255,0.02);\">\n           <span style=\"font-size: 12px; font-weight: 700; color: #71717a;\">02<\/span>\n           <p style=\"font-size: 15px; font-weight: 700; letter-spacing: 0.06em; color: #fff; margin: 6px 0 4px 0;\">RECHERCHIEREN<\/p>\n           <p style=\"font-size: 14px; line-height: 1.5; color: #9ca3af; margin: 0;\">Sammelt aktuelle externe Belege<\/p>\n         <\/div>\n         <div style=\"flex: 1 1 220px; border: 1px solid rgba(255,255,255,0.1); border-radius: 10px; padding: 18px 20px; background: rgba(255,255,255,0.02);\">\n           <span style=\"font-size: 12px; font-weight: 700; color: #71717a;\">03<\/span>\n           <p style=\"font-size: 15px; font-weight: 700; letter-spacing: 0.06em; color: #fff; margin: 6px 0 4px 0;\">BEURTEILEN<\/p>\n           <p style=\"font-size: 14px; line-height: 1.5; color: #9ca3af; margin: 0;\">Entscheidet: belegt, widerlegt oder nicht \u00fcberpr\u00fcfbar<\/p>\n         <\/div>\n       <\/div>\n\n       <p style=\"font-size: 18px; line-height: 1.7; color: rgba(255,255,255,0.9); margin: 0;\">\n         Entdeckt True North eine Erfindung, markiert es sie nicht nur. Es speist die Korrektur in das n\u00e4chste Modell im Gespr\u00e4ch ein, sodass die falsche Behauptung \u00fcberschrieben wird, bevor sie sich ausbreitet. Eine einzelne Halluzination, die unbemerkt bleibt, vergiftet meist alles, was danach kommt \u2013 denn die Modelle vertrauen einander zu bereitwillig, um das Vorherige noch einmal zu pr\u00fcfen. True North unterbricht diese Kette in dem Moment, in dem sie beginnt.\n       <\/p>\n     <\/div>\n\n     <div style=\"text-align: center;\">\n       <p style=\"font-size: 23px; line-height: 1.5; font-style: italic; color: rgba(255,255,255,0.95); margin: 0;\">F\u00fcnf KIs halten sich gegenseitig ehrlich. <br>Belege halten alle f\u00fcnf ehrlich.<\/p>\n     <\/div>\n   <\/div>\n <\/section>\n\n <section style=\"padding: 100px 48px;\">\n <div style=\"max-width: 1200px; margin: 0 auto;\">\n     <div class=\"section-label\" style=\"text-align: center;\">Die Forschung<\/div>\n     <h2 style=\"text-align: center; max-width: 900px; margin: 0 auto 24px;\">\n         Wir haben Multi-KI-Entscheidungsfindung in 1.324 echten Produktionsdurchl\u00e4ufen gemessen.<br>\n         Das liefert sie tats\u00e4chlich.\n     <\/h2>\n     <p style=\"text-align: center; max-width: 740px; margin: 0 auto 60px; font-size: 18px; color: #e5e7eb; line-height: 1.7;\">\n         Kein Labortest. 45 Tage echte Entscheidungen aus dem Produktivbetrieb in den Bereichen Finanzen, Recht, Medizin, Strategie und Technik \u2013 bewertet nach Widerspr\u00fcchen, Korrekturen und einzigartigen Insights \u00fcber Claude, GPT, Gemini, Grok und Perplexity hinweg.\n     <\/p>\n\n     <div style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(240px, 1fr)); gap: 24px; margin-bottom: 60px;\">\n <div style=\"padding: 32px; border: 2px solid var(--border-subtle); border-radius: 12px; background: rgba(255,255,255,0.02);\">\n <div style=\"font-size: 13px; font-weight: 600; letter-spacing: 0.08em; text-transform: uppercase; color: #9ca3af; margin-bottom: 16px;\">Fehler-Asymmetrie<\/div>\n <div style=\"font-size: 48px; font-weight: 700; line-height: 1.1; margin-bottom: 12px;\">9,77\u00d7<\/div>\n <div style=\"font-size: 16px; line-height: 1.5; color: #e5e7eb;\"> Perplexity erkennt 9,77\u00d7 mehr Fehler als <a href=\"https:\/\/suprmind.ai\/hub\/gemini\/pricing\/\" title=\"Gemini-Preise 2026: Free, AI Plus, AI Pro, AI Ultra und API-Kosten\">Gemini<\/a>. Die Schw\u00e4che des einen Modells ist das Sonar des anderen.<\/div>\n <\/div>\n\n <div style=\"padding: 32px; border: 2px solid var(--border-subtle); border-radius: 12px; background: rgba(255,255,255,0.02);\">\n <div style=\"font-size: 13px; font-weight: 600; letter-spacing: 0.08em; text-transform: uppercase; color: #9ca3af; margin-bottom: 16px;\">Niemals still<\/div>\n <div style=\"font-size: 48px; font-weight: 700; line-height: 1.1; margin-bottom: 12px;\">99,1\u00a0%<\/div>\n <div style=\"font-size: 16px; line-height: 1.5; color: #e5e7eb;\">der Multi-KI-Durchl\u00e4ufe brachten mindestens einen Widerspruch, eine Korrektur oder einen einzigartigen Insight hervor.<\/div>\n <\/div>\n\n <div style=\"padding: 32px; border: 2px solid var(--border-subtle); border-radius: 12px; background: rgba(255,255,255,0.02);\">\n <div style=\"font-size: 13px; font-weight: 600; letter-spacing: 0.08em; text-transform: uppercase; color: #9ca3af; margin-bottom: 16px;\">Insight-Gewinn<\/div>\n <div style=\"font-size: 48px; font-weight: 700; line-height: 1.1; margin-bottom: 12px;\">2,6<\/div>\n <div style=\"font-size: 16px; line-height: 1.5; color: #e5e7eb;\">Durchschnittliche einzigartige Insights, die das Ensemble pro Durchgang \u00fcber jedes Einzelmodell hinaus hinzuf\u00fcgt.<\/div>\n <\/div>\n\n <div style=\"padding: 32px; border: 2px solid var(--border-subtle); border-radius: 12px; background: rgba(255,255,255,0.02);\">\n <div style=\"font-size: 13px; font-weight: 600; letter-spacing: 0.08em; text-transform: uppercase; color: #9ca3af; margin-bottom: 16px;\">Auf frischer Tat ertappt<\/div>\n <div style=\"font-size: 48px; font-weight: 700; line-height: 1.1; margin-bottom: 12px;\">1.401<\/div>\n <div style=\"font-size: 16px; line-height: 1.5; color: #e5e7eb;\">Modell\u00fcbergreifende Korrekturen \u2013 Fehler, die eine KI gemacht hat und die eine andere abgefangen hat, bevor sie ausgeliefert wurde.<\/div>\n <\/div>\n     <\/div>\n\n     <h3 style=\"text-align: center; font-size: 24px; font-weight: 600; margin: 80px 0 32px;\">\n         Was in einem Entscheidungsgespr\u00e4ch tats\u00e4chlich passiert\n     <\/h3>\n     <div class=\"comparison-table\" style=\"max-width: 960px; margin: 0 auto;\">\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Metrik<\/div>\n             <div class=\"comparison-value\">Einzelner LLM-Chat<\/div>\n             <div class=\"comparison-value\">Suprmind (gemessen)<\/div>\n         <\/div>\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Perspektiven pro Frage<\/div>\n             <div class=\"comparison-value\">1<\/div>\n             <div class=\"comparison-value\"><strong>5, wobei jede die anderen liest<\/strong><\/div>\n         <\/div>\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Einzigartige Insights pro Gespr\u00e4ch<\/div>\n             <div class=\"comparison-value\">1 Set<\/div>\n             <div class=\"comparison-value\"><strong>+2,6 zus\u00e4tzliche, von einer der f\u00fcnf erkannt<\/strong><\/div>\n         <\/div>\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Modell\u00fcbergreifende Korrekturen<\/div>\n             <div class=\"comparison-value\">0 (unm\u00f6glich)<\/div>\n             <div class=\"comparison-value\"><strong>1.401 in der gesamten Studie<\/strong><\/div>\n         <\/div>\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Aufgedeckte Widerspr\u00fcche<\/div>\n             <div class=\"comparison-value\">0 (eine Stimme)<\/div>\n             <div class=\"comparison-value\"><strong>54 % der Durchl\u00e4ufe<\/strong><\/div>\n         <\/div>\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Gespr\u00e4che mit zus\u00e4tzlichem Signal<\/div>\n             <div class=\"comparison-value\">Unbekannt<\/div>\n             <div class=\"comparison-value\"><strong>99,1\u00a0%<\/strong><\/div>\n         <\/div>\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Signalfreie \u201estille\u201c Gespr\u00e4che<\/div>\n             <div class=\"comparison-value\">Unbekannt<\/div>\n             <div class=\"comparison-value\"><strong>0,9\u00a0%<\/strong><\/div>\n         <\/div>\n     <\/div>\n\n \n <section class=\"sm-section sm-section--dark sm-datalab-section\">\n   <div class=\"sm-section__inner\">\n     <div class=\"sm-datalab__grid\">\n       <aside class=\"sm-datalab__aside\">\n         <p class=\"sm-datalab__eyebrow\"><a href=\"https:\/\/suprmind.ai\/hub\/data-lab\/\" style=\"color: inherit; text-decoration: underline; text-decoration-color: rgba(167, 139, 250, 0.6); text-underline-offset: 4px;\">Suprmind Data Lab<\/a><\/p>\n         <h2 class=\"sm-datalab__headline\">Wir zitieren Benchmarks. Und wir f\u00fchren sie durch.<\/h2>\n         <p class=\"sm-datalab__manifesto\">\n           Alle in dieser Kategorie zitieren Studien Dritter. Suprmind ist die einzige Multi-KI-Plattform, die eigene Produktionsforschung ver\u00f6ffentlicht \u2013 vollst\u00e4ndige Methodik, herunterladbare Datens\u00e4tze, offene Lizenz. Das meiste, was die Branche dar\u00fcber sagt, wie sich f\u00fchrende Modelle vergleichen, stammt aus Laboren. Wir messen es in echter Arbeit.\n         <\/p>\n         <div class=\"sm-datalab__pillars\">\n           <div>\n             <p class=\"sm-datalab__pillar-v\">50+<\/p>\n             <p class=\"sm-datalab__pillar-l\">Quellen nachverfolgt<\/p>\n           <\/div>\n           <div>\n             <p class=\"sm-datalab__pillar-v\">1.324<\/p>\n             <p class=\"sm-datalab__pillar-l\">Produktionsdurchl\u00e4ufe analysiert<\/p>\n           <\/div>\n           <div>\n              <p class=\"sm-datalab__pillar-v\">178<\/p>\n              <p class=\"sm-datalab__pillar-l\">Modell-Releases erfasst<\/p>\n            <\/div>\n           <div>\n              <p class=\"sm-datalab__pillar-v\">3<\/p>\n              <p class=\"sm-datalab__pillar-l\">Forschungsberichte ver\u00f6ffentlicht<\/p>\n            <\/div>\n         <\/div>\n       <\/aside>\n\n       <div class=\"sm-datalab__entries\">\n         <a\n           class=\"sm-datalab__card\"\n           href=\"https:\/\/suprmind.ai\/hub\/de\/die-vertrauensfalle-ki-modell-divergenz-index-q1-2026\/\"\n           target=\"_blank\"\n           rel=\"noopener noreferrer\"\n         >\n           <div>\n             <div class=\"sm-datalab__id\">001<\/div>\n             <div class=\"sm-datalab__monogram\">\n               <svg width=\"64\" height=\"64\" viewBox=\"0 0 64 64\" fill=\"none\" aria-hidden=\"true\">\n                 <line x1=\"14\" y1=\"18\" x2=\"50\" y2=\"14\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                 <line x1=\"14\" y1=\"18\" x2=\"32\" y2=\"48\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                 <line x1=\"14\" y1=\"18\" x2=\"52\" y2=\"46\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                 <line x1=\"50\" y1=\"14\" x2=\"52\" y2=\"46\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                 <line x1=\"50\" y1=\"14\" x2=\"32\" y2=\"48\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                 <line x1=\"32\" y1=\"48\" x2=\"52\" y2=\"46\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                 <line x1=\"14\" y1=\"18\" x2=\"10\" y2=\"40\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                 <line x1=\"10\" y1=\"40\" x2=\"32\" y2=\"48\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                 <circle cx=\"14\" cy=\"18\" r=\"3.5\" fill=\"rgba(255,255,255,0.10)\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                 <circle cx=\"50\" cy=\"14\" r=\"3.5\" fill=\"rgba(255,255,255,0.10)\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                 <circle cx=\"10\" cy=\"40\" r=\"3.5\" fill=\"rgba(255,255,255,0.10)\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                 <circle cx=\"52\" cy=\"46\" r=\"3.5\" fill=\"rgba(255,255,255,0.10)\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                 <circle cx=\"32\" cy=\"48\" r=\"3.5\" fill=\"rgba(255,255,255,0.10)\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                 <circle cx=\"32\" cy=\"16\" r=\"1.5\" fill=\"#fff\"\/>\n                 <circle cx=\"22\" cy=\"33\" r=\"1.5\" fill=\"#fff\"\/>\n                 <circle cx=\"42\" cy=\"30\" r=\"1.5\" fill=\"#fff\"\/>\n               <\/svg>\n             <\/div>\n           <\/div>\n           <div>\n             <p class=\"sm-datalab__type\">ORIGINALFORSCHUNG<\/p>\n             <h3 class=\"sm-datalab__title\">Multi-Model AI Divergence Index<\/h3>\n             <p class=\"sm-datalab__edition\">Ausgabe April 2026 \u2013 Die Vertrauensfalle<\/p>\n             <p class=\"sm-datalab__blurb\">\n               Suprmind&#8217;s eigene Produktionsdaten. 1.324 Multi-KI-Durchl\u00e4ufe \u00fcber 299 Nutzer, bewertet nach Widerspruch, Korrektur und einzigartiger Einsicht pro Anbieter. Die erste systematische Messung, wo f\u00fcnf f\u00fchrende KI-Modelle sich widersprechen, wer wen abf\u00e4ngt und wie oft \u00fcberzeugende Antworten die Peer-Review nicht \u00fcberleben.\n             <\/p>\n             <div class=\"sm-datalab__stats\" style=\"grid-template-columns: repeat(auto-fit, minmax(96px, 1fr));\">\n               <div>\n                 <p class=\"sm-datalab__stat-v\">9,77\u00d7<\/p>\n                 <p class=\"sm-datalab__stat-l\">Perplexity vs. Gemini Abfangverh\u00e4ltnis<\/p>\n               <\/div>\n               <div>\n                 <p class=\"sm-datalab__stat-v\">51,3\u00a0%<\/p>\n                 <p class=\"sm-datalab__stat-l\">der \u00fcberzeugenden Antworten von Gemini wurde widersprochen<\/p>\n               <\/div>\n               <div>\n                 <p class=\"sm-datalab__stat-v\">72,1\u00a0%<\/p>\n                 <p class=\"sm-datalab__stat-l\">Uneinigkeit bei Finanzfragen<\/p>\n               <\/div>\n             <\/div>\n             <div class=\"sm-datalab__meta-wrap\">\n               <div class=\"sm-datalab__meta-row\">\n                 <span><span class=\"sm-datalab__meta-k\">Ver\u00f6ffentlicht:<\/span> <span class=\"sm-datalab__meta-v\">April 2026<\/span><\/span>\n                 <span><span class=\"sm-datalab__meta-k\">Stichprobe:<\/span> <span class=\"sm-datalab__meta-v\">1.324 Produktionsdurchl\u00e4ufe<\/span><\/span>\n                 <span><span class=\"sm-datalab__meta-k\">Nutzer:<\/span> <span class=\"sm-datalab__meta-v\">299<\/span><\/span>\n                 <span><span class=\"sm-datalab__meta-k\">Zeitraum:<\/span> <span class=\"sm-datalab__meta-v\">45 Tage<\/span><\/span>\n                 <span><span class=\"sm-datalab__meta-k\">Lizenz:<\/span> <span class=\"sm-datalab__meta-v\">CC BY 4.0 \u2013 12 CSV-Dateien<\/span><\/span>\n               <\/div>\n               <div class=\"sm-datalab__cta\">\n                 <span class=\"sm-datalab__cta-link\">Lesen Sie die Forschung <span aria-hidden=\"true\">\u2197<\/span><\/span>\n               <\/div>\n             <\/div>\n           <\/div>\n         <\/a>\n\n         <a\n           class=\"sm-datalab__card\"\n           href=\"https:\/\/suprmind.ai\/hub\/de\/ki-halluzinationsstatistiken-forschungsbericht-2026\/\"\n           target=\"_blank\"\n           rel=\"noopener noreferrer\"\n         >\n           <div>\n             <div class=\"sm-datalab__id\">002<\/div>\n             <div class=\"sm-datalab__monogram\">\n               <svg width=\"64\" height=\"64\" viewBox=\"0 0 64 64\" fill=\"none\" aria-hidden=\"true\">\n                 <rect x=\"6\" y=\"34\" width=\"6\" height=\"22\" fill=\"none\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                 <rect x=\"15\" y=\"18\" width=\"6\" height=\"38\" fill=\"none\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"1\"\/>\n                 <rect x=\"24\" y=\"26\" width=\"6\" height=\"30\" fill=\"none\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                 <rect x=\"33\" y=\"8\" width=\"6\" height=\"48\" fill=\"none\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"1\"\/>\n                 <rect x=\"42\" y=\"38\" width=\"6\" height=\"18\" fill=\"none\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                 <rect x=\"51\" y=\"14\" width=\"6\" height=\"42\" fill=\"none\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"1\"\/>\n                 <line x1=\"4\" y1=\"56.5\" x2=\"60\" y2=\"56.5\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n               <\/svg>\n             <\/div>\n           <\/div>\n           <div>\n             <p class=\"sm-datalab__type\">LIVE-BENCHMARK<\/p>\n             <h3 class=\"sm-datalab__title\">KI-Halluzinationsraten &#038; Benchmarks<\/h3>\n             <p class=\"sm-datalab__edition\">Lebende Referenz, \u00fcberarbeitet, sobald neue Benchmarks erscheinen<\/p>\n             <p class=\"sm-datalab__blurb\">\n              Sechs gro\u00dfe Halluzinations-Benchmarks in einem Bericht: Vectara HHEM, AA-Omniscience, FACTS, HalluHard, CJR Citation und SimpleQA. Modell f\u00fcr Modell abgeglichen und mit Suprminds eigenen Multi-Modell-Ergebnissen eingeordnet.\n            <\/p>\n             <div class=\"sm-datalab__stats\" style=\"grid-template-columns: repeat(auto-fit, minmax(96px, 1fr));\">\n              <div>\n                <p class=\"sm-datalab__stat-v\">46 \/ 167<\/p>\n                <p class=\"sm-datalab__stat-l\">Modelle mit positivem AA-Omniscience-Index<\/p>\n              <\/div>\n              <div>\n                <p class=\"sm-datalab__stat-v\">92,2 %<\/p>\n                <p class=\"sm-datalab__stat-l\">GPT-5.6 Sol antwortet falsch, statt abzulehnen<\/p>\n              <\/div>\n              <div>\n                <p class=\"sm-datalab__stat-v\">73-86 %<\/p>\n                <p class=\"sm-datalab__stat-l\">R\u00fcckgang mit aktivierter Websuche, laut OpenAIs eigenen Tests<\/p>\n              <\/div>\n            <\/div>\n            <div class=\"sm-datalab__meta-wrap\">\n               <div class=\"sm-datalab__meta-row\">\n                <span><span class=\"sm-datalab__meta-k\">Benchmarks:<\/span> <span class=\"sm-datalab__meta-v\">6<\/span><\/span>\n                <span><span class=\"sm-datalab__meta-k\">Modelle:<\/span> <span class=\"sm-datalab__meta-v\">167 auf AA-Omniscience<\/span><\/span>\n                <span><span class=\"sm-datalab__meta-k\">Quellen:<\/span> <span class=\"sm-datalab__meta-v\">50+<\/span><\/span>\n                <span><span class=\"sm-datalab__meta-k\">Letzte \u00dcberarbeitung:<\/span> <span class=\"sm-datalab__meta-v\">Oktober 2026<\/span><\/span>\n                <span><span class=\"sm-datalab__meta-k\">Format:<\/span> <span class=\"sm-datalab__meta-v\">Open Access<\/span><\/span>\n              <\/div>\n               <div class=\"sm-datalab__cta\">\n                 <span class=\"sm-datalab__cta-link\">Lesen Sie die Forschung <span aria-hidden=\"true\">\u2197<\/span><\/span>\n               <\/div>\n             <\/div>\n           <\/div>\n         <\/a>\n\n       <\/div>\n     <\/div>\n   <\/div>\n <\/section>\n\n \n <\/div>\n <\/section>\n\n <section style=\"padding: 100px 48px;\">\n     <div style=\"max-width: 1000px; margin: 0 auto;\">\n         <div style=\"text-align: center;\">\n             <div class=\"section-label\">Das Zustimmungsproblem<\/div>\n             <h2>Ihre KI ist darauf trainiert, Sie gl\u00fccklich zu machen. <br \/>Nicht darauf, Ihnen zu sagen, dass Sie falsch liegen.<\/h2>\n         <\/div>\n\n         <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 40px 0 24px 0;\">\n             KI-Modelle lernen aus menschlichem Feedback. Hilfreiche, zustimmende Antworten werden belohnt. Widerspruch wird bestraft. Das Ergebnis: Wenn Sie eine einzelne KI fragen, ob Ihre Investitionsthese standh\u00e4lt, ob Ihre Vertragsklausel Sie sch\u00fctzt, ob Ihre Strategie Sinn ergibt \u2013 tendiert sie dazu, Gr\u00fcnde zu finden, warum Sie recht haben. Sie gl\u00e4ttet die Teile, die Sie innehalten lassen sollten.\n         <\/p>\n\n         <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 40px 0;\">\n             Eine Multi-KI-Plattform, die auf Uneinigkeit basiert, funktioniert anders. Wenn GPT Ihrer Formulierung zustimmt, aber Claude die zugrunde liegende Annahme markiert, sehen Sie beides. Wenn die quellenbasierte Recherche von Perplexity der Echtzeit-Einsch\u00e4tzung von Grok widerspricht, wird dieser Widerspruch im Gespr\u00e4ch sichtbar. Zustimmung wird zu einem Signal, nicht zum Standard. Uneinigkeit wird zum n\u00fctzlichsten Ergebnis, das ein Entscheidungstr\u00e4ger erhalten kann.\n         <\/p>\n\n         <div style=\"padding: 40px; border: 2px solid rgba(255,255,255,0.08); border-radius: 12px; text-align: center;\">\n             <p style=\"font-size: 22px; line-height: 1.6; font-style: italic; color: rgba(255,255,255,0.95); margin: 0;\">\n                 Herk\u00f6mmliche LLM-Chats gl\u00e4tten Konflikte. <br>Suprmind macht sie sichtbar.\n             <\/p>\n             <p style=\"font-size: 17px; line-height: 1.6; color: #9ca3af; margin: 16px 0 0 0;\">\n                 Wenn die kl\u00fcgsten KIs der Welt uneins sind, zeigt Ihnen diese Uneinigkeit genau auf, wo Ihr eigentliches Problem liegt.\n             <\/p>\n         <\/div>\n     <\/div>\n <\/section>\n\n <section style=\"padding: 100px 48px;\">\n     <div class=\"comparison-container\">\n         <div style=\"text-align: left;\">\n             <div class=\"section-label\">Das \u201eMulti-KI\u201c-Problem<\/div>\n             <h2>Die meisten \u201eMulti-KI-Plattformen\u201c sind nur f\u00fcnf Logins. <br \/>Nicht f\u00fcnf Modelle, die gemeinsam denken.<\/h2>\n         <\/div>\n\n         <p class=\"section-subtitle\" style=\"margin-top: 32px;\">\n             Die Kategorie ist \u00fcberf\u00fcllt mit Tools, die sich Multi-KI-Plattformen nennen. Poe. ChatHub. OpenRouter. TypingMind. Sie l\u00f6sen ein legitimes Problem: ein Abonnement statt vier. Sie w\u00e4hlen ein Modell aus einem Dropdown-Men\u00fc, senden Ihren Prompt, lesen die Antwort, wechseln das Modell, fangen von vorne an.\n         <\/p>\n\n         <p class=\"section-subtitle\">\n             Das ist Zugriff, keine Orchestrierung. Sie sprechen immer noch mit nur einem Modell gleichzeitig. Sie m\u00fcssen Widerspr\u00fcche immer noch manuell abgleichen. Sie verlieren bei jedem Tab-Wechsel den Kontext. Am Ende haben Sie vier isolierte Antworten und keine Ahnung, welche davon das Entscheidende \u00fcbersehen hat.\n         <\/p>\n\n         <div class=\"comparison-table\">\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Funktion<\/div>\n                 <div class=\"comparison-value\">Typische Multi-KI-Plattform<\/div>\n                 <div class=\"comparison-value\">Suprmind<\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Modell-Zugriff<\/div>\n                 <div class=\"comparison-value\">Mehrere Modelle in einem Dropdown<\/div>\n                 <div class=\"comparison-value\"><strong>Mehrere Modelle in einem Gespr\u00e4ch<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Kontext-Sharing<\/div>\n                 <div class=\"comparison-value\">Jeder Chat beginnt bei Null<\/div>\n                 <div class=\"comparison-value\"><strong>Vollst\u00e4ndig geteilter Verlauf \u00fcber alle KIs<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Interaktion der Modelle<\/div>\n                 <div class=\"comparison-value\">Keine \u2013 Sie f\u00fchren parallele Prompts aus<\/div>\n                 <div class=\"comparison-value\"><strong>Jede KI liest jede vorherige Antwort<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Uneinigkeit<\/div>\n                 <div class=\"comparison-value\">In separaten Tabs versteckt<\/div>\n                 <div class=\"comparison-value\"><strong>Hervorgehoben, verfolgt, indiziert<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Halluzinations-Erkennung<\/div>\n                 <div class=\"comparison-value\">Keine gegenseitige Pr\u00fcfung<\/div>\n                 <div class=\"comparison-value\"><strong>Zwei Ebenen \u2013 die n\u00e4chste KI korrigiert die vorherige, und ein unabh\u00e4ngiger Pr\u00fcfer kontrolliert, was keine von ihnen hinterfragt hat<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Synthese<\/div>\n                 <div class=\"comparison-value\">Sie gleichen manuell ab<\/div>\n                 <div class=\"comparison-value\"><strong>Automatisch mit Konflikthervorhebung<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Ergebnis<\/div>\n                 <div class=\"comparison-value\">F\u00fcnf Chat-Transkripte<\/div>\n                 <div class=\"comparison-value\"><strong>Ein professionelles Dokument, 25+ Vorlagen<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Orchestrierungs-Modi<\/div>\n                 <div class=\"comparison-value\">Keine \u2013 nur Chat<\/div>\n                 <div class=\"comparison-value\"><strong>Sechs Modi f\u00fcr verschiedene Entscheidungstypen<\/strong><\/div>\n             <\/div>\n         <\/div>\n     <\/div>\n <\/section>\n\n     <div class=\"sg-cta\" data-cta-position=\"post-comparison\" data-cta-provider=\"hallu-lp\">\n         <h2>Ein Dropdown kann keine Halluzination erkennen. <br>Ein gemeinsames Gespr\u00e4ch schon.<\/h2>\n         <p class=\"sg-cta__sub\">Genau diesen Unterschied zeigt die Tabelle oben. F\u00fcnf f\u00fchrende Modelle antworten im selben Gespr\u00e4ch und lesen einander \u2013 erfindet eines einen Fakt, markiert das n\u00e4chste ihn, bevor er in Ihre Entscheidung einflie\u00dft.<\/p>\n         <a class=\"sg-cta__btn\" href=\"\/signup\/spark\" data-cta-position=\"post-comparison\" data-cta-provider=\"hallu-lp\" data-cta-variant=\"hallucination-catching\">Gemeinsames Gespr\u00e4ch kostenlos starten<\/a>\n         <p class=\"sg-cta__fine\">7 Tage kostenlos. Keine Kreditkarte. Grok, GPT, Claude und Gemini in der Testphase \u2013 Perplexity kommt mit Pro dazu.<\/p>\n     <\/div>\n\n <section style=\"padding: 100px 48px;\">\n     <div style=\"max-width: 1200px; margin: 0 auto; text-align: center;\">\n         <div class=\"section-label\">So funktioniert&#8217;s<\/div>\n         <h2>Zwei Wege, wie f\u00fcnf LLMs <br>gemeinsam denken k\u00f6nnen.<\/h2>\n         <p style=\"font-size: 19px; color: #9ca3af; max-width: 800px; margin: 24px auto 60px;\">\n             Nicht alle Fragen ben\u00f6tigen die gleiche Struktur. Suprmind f\u00fchrt Modelle sowohl parallel (schnelle Multi-Perspektiven-Lesungen) als auch sequenziell (tiefe iterative Analyse) aus \u2013 innerhalb derselben Plattform, im selben Gespr\u00e4ch.\n         <\/p>\n\n         <div style=\"overflow: hidden; margin-bottom: 48px;\">\n             <div style=\"float: left; width: 48%; padding: 40px; border: 2px solid rgba(255,255,255,0.08); border-radius: 12px; box-sizing: border-box; text-align: left;\">\n                 <h4 style=\"font-size: 22px; margin: 0 0 8px 0; font-weight: 600;\">Parallel<\/h4>\n                 <p style=\"font-size: 16px; color: #9ca3af; margin: 0 0 20px 0;\">Super Mind-Modus<\/p>\n                 <p style=\"font-size: 17px; line-height: 1.7; margin: 0;\">\n                     Alle f\u00fcnf KIs antworten gleichzeitig. Eine Synthese-Engine liest jede Antwort und erstellt eine einheitliche Antwort mit Konsens-Mapping und Kennzeichnung von Abweichungen.<\/p> \n <p style=\"font-size: 17px; line-height: 1.7; margin: 0; padding-bottom: 33px; padding-top: 23px;\">\n Nutzen Sie diesen Modus f\u00fcr einen schnellen modell\u00fcbergreifenden Check \u2013 Faktenpr\u00fcfung, Plausibilit\u00e4tspr\u00fcfung von Entscheidungen, komprimierte Recherche.\n                 <\/p>\n             <\/div>\n             <div style=\"float: right; width: 48%; padding: 40px; border: 2px solid rgba(255,255,255,0.08); border-radius: 12px; box-sizing: border-box; text-align: left;\">\n                 <h4 style=\"font-size: 22px; margin: 0 0 8px 0; font-weight: 600;\">Sequential<\/h4>\n                 <p style=\"font-size: 16px; color: #9ca3af; margin: 0 0 20px 0;\">Standard- und tiefere Modi<\/p>\n                 <p style=\"font-size: 17px; line-height: 1.7; margin: 0;\">\n                     Jede KI liest jede Antwort vor ihr und erg\u00e4nzt dann das Gespr\u00e4ch. Grok liefert den Kontext. Perplexity untermauert ihn mit quellenbasierter Recherche. Claude unterzieht die Argumentation einem Belastungstest. GPT strukturiert das Argument. Gemini synthetisiert die gesamte Kette. Jede Antwort wird von der vorherigen gepr\u00e4gt, weshalb die sequenzielle Orchestrierung kumulative Intelligenz erzeugt \u2013 statt f\u00fcnf Kopien derselben Antwort.\n                 <\/p>\n             <\/div>\n         <\/div>\n         <div style=\"clear: both;\"><\/div>\n\n         <div style=\"max-width: 700px; margin: 0 auto; padding: 32px; border: 2px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n             <p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0;\">\n                 Starten Sie in Sequential, um den Fall aufzubauen. <br \/> Wechseln Sie zu Super Mind f\u00fcr einen schnellen Konsens-Check. <br \/> Wechseln Sie zu Debate, um die These auf die Probe zu stellen. Testen Sie es im Red Team, bevor Sie sich festlegen.<br \/>                <span style=\"color: rgba(255,255,255,0.6);\">Der Kontext bleibt bei jedem Moduswechsel erhalten. Die Modelle vergessen nicht.<\/span>\n             <\/p>\n         <\/div>\n     <\/div>\n <\/section>\n\n <section style=\"padding: 100px 48px;\">\n     <div style=\"max-width: 1300px; margin: 0 auto; text-align: center;\">\n \n <section class=\"sm-section sm-section--dark sm-usecases-section\">\n   <div class=\"sm-section__inner\">\n     <div class=\"sm-usecases__heading\">\n       <p class=\"sm-usecases__eyebrow\">Anwendungsf\u00e4lle<\/p>\n       <h2 class=\"sm-usecases__header\">Wof\u00fcr es entwickelt wurde<\/h2>\n       <p class=\"sm-usecases__sub\">Einige Anwendungsf\u00e4lle, in denen sich Multi-KI-Orchestrierung auszahlt.<\/p>\n     <\/div>\n\n     <div class=\"sm-usecases__tabs\" role=\"tablist\" data-sm-usecases>\n       <button class=\"sm-usecases__tab is-active\" type=\"button\" role=\"tab\" data-sm-usecases-tab=\"0\" aria-selected=\"true\">\n         <span class=\"sm-usecases__tab-icon\">\n           <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M16 7V5a2 2 0 0 0-2-2h-4a2 2 0 0 0-2 2v2\"\/><rect x=\"2\" y=\"7\" width=\"20\" height=\"13\" rx=\"2\"\/><\/svg>\n         <\/span>\n         Strategieberater\n       <\/button>\n       <button class=\"sm-usecases__tab\" type=\"button\" role=\"tab\" data-sm-usecases-tab=\"1\" aria-selected=\"false\">\n         <span class=\"sm-usecases__tab-icon\">\n           <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M9 18h6m-5 3h4M12 2a6 6 0 0 0-3 11.2c.7.5 1 1 1 2v.8h4v-.8c0-1 .3-1.5 1-2A6 6 0 0 0 12 2z\"\/><\/svg>\n         <\/span>\n         Gr\u00fcnder &amp; F\u00fchrungskr\u00e4fte\n       <\/button>\n       <button class=\"sm-usecases__tab\" type=\"button\" role=\"tab\" data-sm-usecases-tab=\"2\" aria-selected=\"false\">\n         <span class=\"sm-usecases__tab-icon\">\n           <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"1\"\/><ellipse cx=\"12\" cy=\"12\" rx=\"10\" ry=\"4.5\"\/><ellipse cx=\"12\" cy=\"12\" rx=\"10\" ry=\"4.5\" transform=\"rotate(60 12 12)\"\/><ellipse cx=\"12\" cy=\"12\" rx=\"10\" ry=\"4.5\" transform=\"rotate(120 12 12)\"\/><\/svg>\n         <\/span>\n         KI-Power-User\n       <\/button>\n       <button class=\"sm-usecases__tab\" type=\"button\" role=\"tab\" data-sm-usecases-tab=\"3\" aria-selected=\"false\">\n         <span class=\"sm-usecases__tab-icon\">\n           <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><line x1=\"4\" y1=\"20\" x2=\"20\" y2=\"20\"\/><rect x=\"5\" y=\"11\" width=\"3\" height=\"8\"\/><rect x=\"11\" y=\"6\" width=\"3\" height=\"13\"\/><rect x=\"17\" y=\"14\" width=\"3\" height=\"5\"\/><\/svg>\n         <\/span>\n         Investmentanalysten\n       <\/button>\n     <\/div>\n\n     <div class=\"sm-usecases__panel is-active\" role=\"tabpanel\" data-sm-usecases-panel=\"0\">\n       <div class=\"sm-usecases__copy\">\n         <p class=\"sm-usecases__persona\">Strategieberater<\/p>\n         <h3 class=\"sm-usecases__title\">M&amp;A-Pre-Mortem in 90 Minuten<\/h3>\n         <p class=\"sm-usecases__body\">\n           Gehen Sie ins Partner-Meeting, nachdem f\u00fcnf f\u00fchrende KIs bereits f\u00fcr Sie \u00fcber den Fall gestritten haben. Jede Erfindung ist abgefangen, bevor die Folien Ihren Laptop verlassen.\n         <\/p>\n         <button type=\"button\" class=\"sm-usecases__cta\">\n           Beispielergebnis ansehen\n           <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M7 17L17 7M9 7h8v8\"\/><\/svg>\n         <\/button>\n       <\/div>\n       <div class=\"sm-peek\">\n         <div class=\"sm-peek__top\">\n           <span class=\"sm-peek__eyebrow\">Master Document \u2013 Vorschau<\/span>\n           <span class=\"sm-peek__sub\">v4 \u00b7 als PDF exportiert<\/span>\n         <\/div>\n         <h4 class=\"sm-peek__title\">Skybridge-\u00dcbernahme \u2013 Empfehlungsmemo<\/h4>\n         <p class=\"sm-peek__meta\">Erstellt von Suprmind \u00b7 Sequential-Modus \u00b7 5 Modelle \u00b7 47 Min.<\/p>\n         <div class=\"sm-peek__verdict\">\n           <p class=\"sm-peek__verdict-label\">Urteil<\/p>\n           <p class=\"sm-peek__verdict-body\">Keine \u00dcbernahme zu 42 Mio. $. Neu pr\u00fcfen bei 26 Mio. $ mit Nachweis einer NRR-Trendwende.<\/p>\n         <\/div>\n         <div class=\"sm-peek__list\">\n           <div class=\"sm-peek__list-row\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14 3v4a1 1 0 0 0 1 1h4\"\/><path d=\"M17 21H7a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7l5 5v11a2 2 0 0 1-2 2z\"\/><\/svg><span class=\"sm-peek__list-row-text\">Executive Summary<\/span><\/div>\n           <div class=\"sm-peek__list-row\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14 3v4a1 1 0 0 0 1 1h4\"\/><path d=\"M17 21H7a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7l5 5v11a2 2 0 0 1-2 2z\"\/><\/svg><span class=\"sm-peek__list-row-text\">Konsensmatrix der f\u00fcnf Modelle<\/span><\/div>\n           <div class=\"sm-peek__list-row\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14 3v4a1 1 0 0 0 1 1h4\"\/><path d=\"M17 21H7a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7l5 5v11a2 2 0 0 1-2 2z\"\/><\/svg><span class=\"sm-peek__list-row-text\">Uneinigkeiten &amp; offene Fragen<\/span><\/div>\n           <div class=\"sm-peek__list-row\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14 3v4a1 1 0 0 0 1 1h4\"\/><path d=\"M17 21H7a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7l5 5v11a2 2 0 0 1-2 2z\"\/><\/svg><span class=\"sm-peek__list-row-text\">Risikoregister (Red Team-Ergebnis)<\/span><\/div>\n           <div class=\"sm-peek__list-row\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14 3v4a1 1 0 0 0 1 1h4\"\/><path d=\"M17 21H7a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7l5 5v11a2 2 0 0 1-2 2z\"\/><\/svg><span class=\"sm-peek__list-row-text\">Belege \u2013 Quellenangaben<\/span><\/div>\n         <\/div>\n       <\/div>\n     <\/div>\n\n     <div class=\"sm-usecases__panel\" role=\"tabpanel\" data-sm-usecases-panel=\"1\">\n       <div class=\"sm-usecases__copy\">\n         <p class=\"sm-usecases__persona\">Gr\u00fcnder &amp; F\u00fchrungskr\u00e4fte<\/p>\n         <h3 class=\"sm-usecases__title\">Preisexperiment, fundiert verteidigt<\/h3>\n         <p class=\"sm-usecases__body\">\n           Schicken Sie einen Preistest mit 79 $ vs. 149 $ durch den Debate-Modus. Sehen Sie zu, wie Claude f\u00fcr Kundenbindung argumentiert, Grok f\u00fcr Preiselastizit\u00e4t und Perplexity beides mit Benchmarks aus 2026 untermauert.\n         <\/p>\n         <button type=\"button\" class=\"sm-usecases__cta\">\n           Beispielergebnis ansehen\n           <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M7 17L17 7M9 7h8v8\"\/><\/svg>\n         <\/button>\n       <\/div>\n       <div class=\"sm-peek sm-peek--debate\">\n         <span class=\"sm-peek__eyebrow\">Debate-Transkript \u2013 Vorschau<\/span>\n         <div class=\"sm-peek__debate-list\">\n           <div class=\"sm-peek__debate-row\">\n             <div class=\"sm-peek__debate-head\">\n               <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#D97757\" aria-hidden=\"true\"><path d=\"M17.3041 3.541h-3.6718l6.696 16.918H24Zm-10.6082 0L0 20.459h3.7442l1.3693-3.5527h7.0052l1.3693 3.5528h3.7442L10.5363 3.5409Zm-.3712 10.2232 2.2914-5.9456 2.2914 5.9456Z\"\/><\/svg>\n               <span class=\"sm-peek__debate-provider\">Claude<\/span>\n               <span class=\"sm-peek__debate-stance\">PRO \u2013 149 $<\/span>\n             <\/div>\n             <p class=\"sm-peek__debate-text\">Die Retention-Kurve flacht oberhalb von 99 $ ab. Die 50 $ Spielraum verschaffen Ihnen die Signalwirkung gegen\u00fcber Frontier-K\u00e4ufern.<\/p>\n           <\/div>\n           <div class=\"sm-peek__debate-row\">\n             <div class=\"sm-peek__debate-head\">\n               <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#E11D48\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M9.27 15.29l7.978-5.897c.391-.29.95-.177 1.137.272.98 2.369.542 5.215-1.41 7.169-1.951 1.954-4.667 2.382-7.149 1.406l-2.711 1.257c3.889 2.661 8.611 2.003 11.562-.953 2.341-2.344 3.066-5.539 2.388-8.42l.006.007c-.983-4.232.242-5.924 2.75-9.383.06-.082.12-.164.179-.248l-3.301 3.305v-.01L9.267 15.292M7.623 16.723c-2.792-2.67-2.31-6.801.071-9.184 1.761-1.763 4.647-2.483 7.166-1.425l2.705-1.25a7.808 7.808 0 00-1.829-1A8.975 8.975 0 005.984 5.83c-2.533 2.536-3.33 6.436-1.962 9.764 1.022 2.487-.653 4.246-2.34 6.022-.599.63-1.199 1.259-1.682 1.925l7.62-6.815\"\/><\/svg>\n               <span class=\"sm-peek__debate-provider\">Grok<\/span>\n               <span class=\"sm-peek__debate-stance\">CONTRA \u2013 79 $<\/span>\n             <\/div>\n             <p class=\"sm-peek__debate-text\">Die Elastizit\u00e4t ist in dieser Phase brutal. Sie verlieren 31 % der Conversions f\u00fcr ~22 % mehr Umsatz.<\/p>\n           <\/div>\n           <div class=\"sm-peek__debate-row\">\n             <div class=\"sm-peek__debate-head\">\n               <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#22D3EE\" aria-hidden=\"true\"><path d=\"M22.3977 7.0896h-2.3106V.0676l-7.5094 6.3542V.0676L4.8011 7.0896H1.6021v9.7732h3.1991v7.0696l7.7776-6.6065v6.6065l7.5094-6.3542v6.3542H22.3978z\"\/><\/svg>\n               <span class=\"sm-peek__debate-provider\">Perplexity<\/span>\n               <span class=\"sm-peek__debate-stance\">KONTEXT<\/span>\n             <\/div>\n             <p class=\"sm-peek__debate-text\">SaaS-Prosumer-Benchmarks 2026: 38 % der Tools ab 99 $ verzeichnen nach einer Preissenkung &gt;40 % mehr Trial-to-Paid-Conversions.<\/p>\n           <\/div>\n         <\/div>\n       <\/div>\n     <\/div>\n\n     <div class=\"sm-usecases__panel\" role=\"tabpanel\" data-sm-usecases-panel=\"2\">\n       <div class=\"sm-usecases__copy\">\n         <p class=\"sm-usecases__persona\">KI-Power-User<\/p>\n         <h3 class=\"sm-usecases__title\">Schluss mit dem Abgleichen von f\u00fcnf Tabs<\/h3>\n         <p class=\"sm-usecases__body\">\n           K\u00fcndigen Sie ChatGPT Pro, Claude Pro, Perplexity Pro und Gemini Advanced. Ein Gespr\u00e4ch. F\u00fcnf Modelle. Gemeinsamer Kontext. 95 $\/Monat, alles inklusive.\n         <\/p>\n         <button type=\"button\" class=\"sm-usecases__cta\">\n           Beispielergebnis ansehen\n           <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M7 17L17 7M9 7h8v8\"\/><\/svg>\n         <\/button>\n       <\/div>\n       <div class=\"sm-peek\">\n         <span class=\"sm-peek__eyebrow sm-peek__eyebrow--mute\">Ihr aktueller Stack<\/span>\n         <div class=\"sm-peek__subs\">\n           <div class=\"sm-peek__sub-row\">\n             <span class=\"sm-peek__sub-name\"><span class=\"sm-peek__sub-dot\" style=\"background:#10A37F;\"><\/span><span class=\"sm-peek__sub-label\">ChatGPT Plus<\/span><\/span>\n             <span class=\"sm-peek__sub-price\">20 $\/Monat<\/span>\n           <\/div>\n           <div class=\"sm-peek__sub-row\">\n             <span class=\"sm-peek__sub-name\"><span class=\"sm-peek__sub-dot\" style=\"background:#D97757;\"><\/span><span class=\"sm-peek__sub-label\">Claude Pro<\/span><\/span>\n             <span class=\"sm-peek__sub-price\">20 $\/Monat<\/span>\n           <\/div>\n           <div class=\"sm-peek__sub-row\">\n             <span class=\"sm-peek__sub-name\"><span class=\"sm-peek__sub-dot\" style=\"background:#22D3EE;\"><\/span><span class=\"sm-peek__sub-label\">Perplexity Pro<\/span><\/span>\n             <span class=\"sm-peek__sub-price\">20 $\/Monat<\/span>\n           <\/div>\n           <div class=\"sm-peek__sub-row\">\n             <span class=\"sm-peek__sub-name\"><span class=\"sm-peek__sub-dot\" style=\"background:#4285F4;\"><\/span><span class=\"sm-peek__sub-label\">Gemini Advanced<\/span><\/span>\n             <span class=\"sm-peek__sub-price\">20 $\/Monat<\/span>\n           <\/div>\n           <div class=\"sm-peek__sub-row\">\n             <span class=\"sm-peek__sub-name\"><span class=\"sm-peek__sub-dot\" style=\"background:#E11D48;\"><\/span><span class=\"sm-peek__sub-label\">X Premium+<\/span><\/span>\n             <span class=\"sm-peek__sub-price\">16 $\/Monat<\/span>\n           <\/div>\n         <\/div>\n         <div class=\"sm-peek__total\">\n           <span class=\"sm-peek__total-label\">Gesamt \/ Monat<\/span>\n           <span class=\"sm-peek__total-v\">96 $<\/span>\n         <\/div>\n         <div class=\"sm-peek__frontier\">\n           <div>\n             <p class=\"sm-peek__frontier-eyebrow\">Suprmind Frontier<\/p>\n             <p class=\"sm-peek__frontier-line\">Alle f\u00fcnf Modelle \u00b7 ein Gespr\u00e4ch \u00b7 gemeinsamer Kontext<\/p>\n           <\/div>\n           <p class=\"sm-peek__frontier-price\">95\u00a0$<\/p>\n         <\/div>\n       <\/div>\n     <\/div>\n\n     <div class=\"sm-usecases__panel\" role=\"tabpanel\" data-sm-usecases-panel=\"3\">\n       <div class=\"sm-usecases__copy\">\n         <p class=\"sm-usecases__persona\">Investmentanalysten<\/p>\n         <h3 class=\"sm-usecases__title\">IC-Memo, belastbar bis 16 Uhr<\/h3>\n         <p class=\"sm-usecases__body\">\n           F\u00fcnf Wissensbasen beleuchten dieselbe Frage. Bauen Sie die st\u00e4rksten Argumente daf\u00fcr und dagegen auf, bevor Kapital gebunden wird.\n         <\/p>\n         <button type=\"button\" class=\"sm-usecases__cta\">\n           Beispielergebnis ansehen\n           <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M7 17L17 7M9 7h8v8\"\/><\/svg>\n         <\/button>\n       <\/div>\n       <div class=\"sm-peek sm-peek--research\">\n         <span class=\"sm-peek__eyebrow\">Research Symphony \u2013 Pipeline<\/span>\n         <div class=\"sm-peek__pipeline\">\n           <div class=\"sm-peek__pipeline-row\">\n             <span class=\"sm-peek__pipeline-num\">01<\/span>\n             <span class=\"sm-peek__pipeline-stage\">Quellenabruf<\/span>\n             <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#22D3EE\" aria-hidden=\"true\"><path d=\"M22.3977 7.0896h-2.3106V.0676l-7.5094 6.3542V.0676L4.8011 7.0896H1.6021v9.7732h3.1991v7.0696l7.7776-6.6065v6.6065l7.5094-6.3542v6.3542H22.3978z\"\/><\/svg>\n             <span class=\"sm-peek__pipeline-meta\">47 Quellen zitiert<\/span>\n             <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#10b981\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><path d=\"M9 12l2 2 4-4\"\/><\/svg>\n           <\/div>\n           <div class=\"sm-peek__pipeline-row\">\n             <span class=\"sm-peek__pipeline-num\">02<\/span>\n             <span class=\"sm-peek__pipeline-stage\">Analyse<\/span>\n             <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#D97757\" aria-hidden=\"true\"><path d=\"M17.3041 3.541h-3.6718l6.696 16.918H24Zm-10.6082 0L0 20.459h3.7442l1.3693-3.5527h7.0052l1.3693 3.5528h3.7442L10.5363 3.5409Zm-.3712 10.2232 2.2914-5.9456 2.2914 5.9456Z\"\/><\/svg>\n             <span class=\"sm-peek__pipeline-meta\">8 Themen extrahiert<\/span>\n             <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#10b981\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><path d=\"M9 12l2 2 4-4\"\/><\/svg>\n           <\/div>\n           <div class=\"sm-peek__pipeline-row\">\n             <span class=\"sm-peek__pipeline-num\">03<\/span>\n             <span class=\"sm-peek__pipeline-stage\">Faktencheck<\/span>\n             <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#4285F4\" aria-hidden=\"true\"><path d=\"M12 24A14.304 14.304 0 0 0 0 12 14.304 14.304 0 0 0 12 0a14.305 14.305 0 0 0 12 12 14.305 14.305 0 0 0-12 12Z\"\/><\/svg>\n             <span class=\"sm-peek__pipeline-meta\">3 Widerspr\u00fcche markiert<\/span>\n             <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#10b981\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><path d=\"M9 12l2 2 4-4\"\/><\/svg>\n           <\/div>\n           <div class=\"sm-peek__pipeline-row\">\n             <span class=\"sm-peek__pipeline-num\">04<\/span>\n             <span class=\"sm-peek__pipeline-stage\">Gegenpr\u00fcfung<\/span>\n             <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#E11D48\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M9.27 15.29l7.978-5.897c.391-.29.95-.177 1.137.272.98 2.369.542 5.215-1.41 7.169-1.951 1.954-4.667 2.382-7.149 1.406l-2.711 1.257c3.889 2.661 8.611 2.003 11.562-.953 2.341-2.344 3.066-5.539 2.388-8.42l.006.007c-.983-4.232.242-5.924 2.75-9.383.06-.082.12-.164.179-.248l-3.301 3.305v-.01L9.267 15.292M7.623 16.723c-2.792-2.67-2.31-6.801.071-9.184 1.761-1.763 4.647-2.483 7.166-1.425l2.705-1.25a7.808 7.808 0 00-1.829-1A8.975 8.975 0 005.984 5.83c-2.533 2.536-3.33 6.436-1.962 9.764 1.022 2.487-.653 4.246-2.34 6.022-.599.63-1.199 1.259-1.682 1.925l7.62-6.815\"\/><\/svg>\n             <span class=\"sm-peek__pipeline-meta\">Red-Team-Durchlauf<\/span>\n             <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#10b981\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><path d=\"M9 12l2 2 4-4\"\/><\/svg>\n           <\/div>\n           <div class=\"sm-peek__pipeline-row sm-peek__pipeline-row--streaming\">\n             <span class=\"sm-peek__pipeline-num\">05<\/span>\n             <span class=\"sm-peek__pipeline-stage\">Synthese<\/span>\n             <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#10A37F\" aria-hidden=\"true\"><path d=\"M22.282 9.821a5.985 5.985 0 0 0-.516-4.91 6.046 6.046 0 0 0-6.51-2.9A6.065 6.065 0 0 0 4.981 4.18a5.985 5.985 0 0 0-3.998 2.9 6.046 6.046 0 0 0 .743 7.097 5.98 5.98 0 0 0 .51 4.911 6.051 6.051 0 0 0 6.515 2.9A5.985 5.985 0 0 0 13.26 24a6.056 6.056 0 0 0 5.772-4.206 5.99 5.99 0 0 0 3.997-2.9 6.056 6.056 0 0 0-.747-7.073z\"\/><\/svg>\n             <span class=\"sm-peek__pipeline-meta\">8.200 \/ ~10.000 W\u00f6rter<\/span>\n             <span class=\"sm-peek__dots\"><span class=\"sm-peek__dot\"><\/span><span class=\"sm-peek__dot\"><\/span><span class=\"sm-peek__dot\"><\/span><\/span>\n           <\/div>\n         <\/div>\n       <\/div>\n     <\/div>\n   <\/div>\n <\/section>\n\n \n\n     <\/div>\n <\/section>\n\n <section id=\"intelligence\" style=\"padding: 120px 48px;\">\n     <div class=\"intelligence-grid\">\n         <div class=\"intelligence-content\">\n             <div class=\"section-label\">Der Mechanismus<\/div>\n             <h2>Eine KI-Plattform mit dem geringsten Halluzinationsrisiko \u2013 schon von der Architektur her<\/h2>\n             <p style=\"font-size: 18px; color: #9ca3af; margin-top: -8px;\">Wie eine Multi-Modell-KI-Plattform auff\u00e4ngt, was eine einzelne KI \u00fcbersieht \u2013 und warum das pr\u00e4ziseste KI-Setup ein Workflow ist, kein Modell.<\/p>\n             <p>\n                 Wenn Claude als N\u00e4chstes in einem Suprmind-Gespr\u00e4ch an der Reihe ist, liest es Ihre Frage nicht isoliert. Es liest Ihre Frage plus alles, was Grok, Perplexity und <a href=\"https:\/\/suprmind.ai\/hub\/chatgpt\/pricing\/\" title=\"ChatGPT-Preise 2026: Was Sie in jedem Tarif tats\u00e4chlich bekommen\">GPT<\/a> zuvor geschrieben haben. Wenn eines dieser Modelle eine Quelle erfunden hat, kann Claude es \u00fcberpr\u00fcfen. Wenn eines von ihnen eine schwache Annahme gegl\u00e4ttet hat, kann Claude es markieren. Das gemeinsame Gespr\u00e4ch ist das, was Querpr\u00fcfung m\u00f6glich macht.\n             <\/p>\n             <p>\n                 Gemini schlie\u00dft die Kette mit Synthese ab. Es sieht jede Antwort und erzeugt ein Ergebnis, das strukturell anders ist als die Antwort eines einzelnen Modells. Das ist es, was \u201ekumulative Intelligenz\u201c tats\u00e4chlich bedeutet \u2013 nicht f\u00fcnf Kopien derselben Antwort, sondern eine Antwort, die sich dadurch entwickelt hat, dass f\u00fcnf f\u00fchrende Modelle einander gepr\u00e4gt haben.\n             <\/p>\n\n             <ul class=\"feature-list\">\n                 <li><span class=\"check\"><\/span>F\u00fcnf f\u00fchrende Modelle arbeiten in einem Gespr\u00e4ch zusammen<\/li>\n                 <li><span class=\"check\"><\/span>Sequenzielle und parallele Orchestrierung auf derselben Plattform<\/li>\n                 <li><span class=\"check\"><\/span>Uneinigkeiten werden aufgezeigt und verfolgt, nicht gegl\u00e4ttet<\/li>\n                 <li><span class=\"check\"><\/span>Halluzinationen werden von der n\u00e4chsten KI in der Kette erkannt<\/li>\n                 <li><span class=\"check\"><\/span>Sechs Orchestrierungs-Modi f\u00fcr verschiedene Entscheidungstypen<\/li>\n                 <li><span class=\"check\"><\/span>@mention-Targeting f\u00fcr spezifische Modellst\u00e4rken<\/li>\n             <\/ul>\n         <\/div>\n\n         <div class=\"process-visual\">\n             <div class=\"process-step\">\n                 <span class=\"process-number\">1<\/span>\n                <span class=\"process-name\">Anfrage geht ein<\/span>\n                <span class=\"process-time\">Ihre Frage<\/span>\n                 <div class=\"process-desc\">Sie fragen etwas Wichtiges. Suprmind leitet es durch den von Ihnen gew\u00e4hlten Modus.<\/div>\n             <\/div>\n             <div class=\"process-step\">\n                 <span class=\"process-number\">2<\/span>\n                <span class=\"process-name\">Kontext baut sich auf<\/span>\n                <span class=\"process-time\">Jede KI erg\u00e4nzt<\/span>\n                 <div class=\"process-desc\">Jedes Modell antwortet, w\u00e4hrend es alles Vorherige liest. Ideen entwickeln sich. Fehler werden korrigiert.<\/div>\n             <\/div>\n             <div class=\"process-step\">\n                 <span class=\"process-number\">3<\/span>\n                <span class=\"process-name\">Konflikte treten zutage<\/span>\n                <span class=\"process-time\">Uneinigkeit offengelegt<\/span>\n                 <div class=\"process-desc\">Wenn KIs uneins sind, hebt Suprmind dies hervor. Wenn eine KI eine Halluzination einer anderen erkennt, bleibt diese Korrektur sichtbar.<\/div>\n             <\/div>\n             <div class=\"process-step\">\n                 <span class=\"process-number\">4<\/span>\n                <span class=\"process-name\">Synthese wird erstellt<\/span>\n                <span class=\"process-time\">Einheitliches Ergebnis<\/span>\n                 <div class=\"process-desc\">Die vollst\u00e4ndige Antwortkette plus eine synthetisierte Ansicht von \u00dcbereinstimmungen, Konflikten und Auswirkungen.<\/div>\n             <\/div>\n             <div class=\"process-step\">\n                 <span class=\"process-number\">5<\/span>\n                <span class=\"process-name\">Gespr\u00e4ch geht weiter<\/span>\n                <span class=\"process-time\">Iterieren oder Schwenken<\/span>\n                 <div class=\"process-desc\">Haken Sie nach. Wechseln Sie den Modus. Vertiefen Sie eine Uneinigkeit. Der Kontext bleibt \u00fcber jeden Durchgang hinweg erhalten.<\/div>\n             <\/div>\n         <\/div>\n     <\/div>\n <\/section>\n\n <section style=\"padding: 120px 48px;\">\n     <div style=\"max-width: 1200px; margin: 0 auto;\">\n         <div class=\"section-label\" style=\"color: rgba(255,255,255,0.7);\">Orchestrierungs-Modi<\/div>\n         <h2 style=\"color: white; margin-bottom: 24px;\">Sechs Wege, wie f\u00fcnf KIs <br \/>Ihre Frage bearbeiten k\u00f6nnen.<\/h2>\n\n         <p style=\"font-size: 18px; color: rgba(255,255,255,0.8); margin-bottom: 60px; max-width: 800px;\">\n             Unterschiedliche Probleme erfordern unterschiedliche Orchestrierung. Wechseln Sie mitten im Gespr\u00e4ch den Modus, ohne Kontext zu verlieren. Genau das macht Suprmind zu einer Multi-LLM-Orchestrierungsplattform statt zu einem blo\u00dfen Modell-Umschalter.\n         <\/p>\n\n \n     <svg width=\"0\" height=\"0\" aria-hidden=\"true\" style=\"position:absolute;width:0;height:0;\">\n       <defs>\n         <marker id=\"sm-modes-arrow\" viewBox=\"0 0 10 10\" refX=\"8\" refY=\"5\" markerWidth=\"6\" markerHeight=\"6\" orient=\"auto\">\n           <path d=\"M0 0 L10 5 L0 10 z\" fill=\"#A1A1AA\"\/>\n         <\/marker>\n       <\/defs>\n     <\/svg>\n\n     <div class=\"sm-modes__shell\" data-sm-modes>\n       <div class=\"sm-modes__tablist\" role=\"tablist\" aria-label=\"Sechs Wege, eine Entscheidung auf die Probe zu stellen\">\n         <button class=\"sm-modes__tab is-active\" type=\"button\" role=\"tab\" data-sm-modes-tab=\"0\" aria-selected=\"true\">\n           <span class=\"sm-modes__tab-icon\">\n             <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M6 4l6 6 6-6M6 11l6 6 6-6\"\/><\/svg>\n           <\/span>\n          <span class=\"sm-modes__tab-name\">Sequential<\/span>\n          <span class=\"sm-modes__badge\">Standard<\/span>\n         <\/button>\n         <button class=\"sm-modes__tab\" type=\"button\" role=\"tab\" data-sm-modes-tab=\"1\" aria-selected=\"false\">\n           <span class=\"sm-modes__tab-icon\">\n             <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect width=\"6\" height=\"6\" x=\"16\" y=\"16\" rx=\"1\"\/><rect width=\"6\" height=\"6\" x=\"2\" y=\"16\" rx=\"1\"\/><rect width=\"6\" height=\"6\" x=\"9\" y=\"2\" rx=\"1\"\/><path d=\"M5 16v-3a1 1 0 0 1 1-1h12a1 1 0 0 1 1 1v3m-7-4V8\"\/><\/svg>\n           <\/span>\n          <span class=\"sm-modes__tab-name\">Super Mind<\/span>\n          <span class=\"sm-modes__badge\">Am schnellsten<\/span>\n         <\/button>\n         <button class=\"sm-modes__tab\" type=\"button\" role=\"tab\" data-sm-modes-tab=\"2\" aria-selected=\"false\">\n           <span class=\"sm-modes__tab-icon\">\n             <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M3 6.5A1.5 1.5 0 0 1 4.5 5H13a1.5 1.5 0 0 1 1.5 1.5V11A1.5 1.5 0 0 1 13 12.5H7l-4 3z\"\/><path d=\"M9.5 16.5h7l4 3v-9A1.5 1.5 0 0 0 19 9h-1\"\/><\/svg>\n           <\/span>\n          <span class=\"sm-modes__tab-name\">Debate<\/span>\n         <\/button>\n         <button class=\"sm-modes__tab\" type=\"button\" role=\"tab\" data-sm-modes-tab=\"3\" aria-selected=\"false\">\n           <span class=\"sm-modes__tab-icon\">\n             <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14.5 17.5L3 6V3h3l11.5 11.5M13 19l6-6m-3 3l4 4m-1 1l2-2M14.5 6.5L18 3h3v3l-3.5 3.5M5 14l4 4m-2-1l-3 3m-1-1l2 2\"\/><\/svg>\n           <\/span>\n          <span class=\"sm-modes__tab-name\">Red Team<\/span>\n         <\/button>\n         <button class=\"sm-modes__tab\" type=\"button\" role=\"tab\" data-sm-modes-tab=\"4\" aria-selected=\"false\">\n           <span class=\"sm-modes__tab-icon\">\n             <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M6 18h8M3 22h18m-7 0a7 7 0 1 0 0-14h-1m-4 6h2m-2-2a2 2 0 0 1-2-2V6h6v4a2 2 0 0 1-2 2Zm3-6V3a1 1 0 0 0-1-1H9a1 1 0 0 0-1 1v3\"\/><\/svg>\n           <\/span>\n          <span class=\"sm-modes__tab-name\">Research Symphony<\/span>\n          <span class=\"sm-modes__badge\">Enterprise<\/span>\n         <\/button>\n         <button class=\"sm-modes__tab\" type=\"button\" role=\"tab\" data-sm-modes-tab=\"5\" aria-selected=\"false\">\n           <span class=\"sm-modes__tab-icon\">\n             <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"1\"\/><path d=\"M20.2 20.2c2.04-2.03.02-7.36-4.5-11.9c-4.54-4.52-9.87-6.54-11.9-4.5c-2.04 2.03-.02 7.36 4.5 11.9c4.54 4.52 9.87 6.54 11.9 4.5\"\/><path d=\"M15.7 15.7c4.52-4.54 6.54-9.87 4.5-11.9c-2.03-2.04-7.36-.02-11.9 4.5c-4.52 4.54-6.54 9.87-4.5 11.9c2.03 2.04 7.36.02 11.9-4.5\"\/><\/svg>\n           <\/span>\n          <span class=\"sm-modes__tab-name\">First Principles<\/span>\n          <span class=\"sm-modes__badge\">Pro+<\/span>\n         <\/button>\n       <\/div>\n\n       <div class=\"sm-modes__panel is-active\" role=\"tabpanel\" data-sm-modes-panel=\"0\">\n         <div class=\"sm-modes__panel-head\">\n           <span class=\"sm-modes__panel-avatar\">\n             <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M6 4l6 6 6-6M6 11l6 6 6-6\"\/><\/svg>\n           <\/span>\n           <div class=\"sm-modes__panel-title-row\">\n             <h3 class=\"sm-modes__panel-title\">Sequential<\/h3>\n             <span class=\"sm-modes__badge\">Standard<\/span>\n           <\/div>\n         <\/div>\n         <p class=\"sm-modes__panel-oneliner\">KIs antworten nacheinander. Jede liest alles davor. Der Standard \u2013 und der tiefste.<\/p>\n         <div class=\"sm-modes__panel-bestfor\">\n           <p class=\"sm-modes__panel-bestfor-label\">Am besten f\u00fcr:<\/p>\n           <p class=\"sm-modes__panel-bestfor-value\">Komplexe Analysen, Research, Architekturentscheidungen<\/p>\n         <\/div>\n         <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/de\/modi\/sequential-modus\/\">Mehr erfahren <span aria-hidden=\"true\">\u2192<\/span><\/a>\n         <div class=\"sm-modes__flow\">\n           <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Orchestrierungsablauf im Sequential-Modus\">\n             <circle cx=\"30\" cy=\"40\" r=\"10\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.2)\"\/>\n             <text x=\"30\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#71717A\">Sie<\/text>\n             <circle cx=\"70\" cy=\"40\" r=\"9\" fill=\"#10A37F22\" stroke=\"#10A37F66\"\/>\n             <line x1=\"80\" y1=\"40\" x2=\"120\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"130\" cy=\"40\" r=\"9\" fill=\"#D9775722\" stroke=\"#D9775766\"\/>\n             <line x1=\"140\" y1=\"40\" x2=\"180\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"190\" cy=\"40\" r=\"9\" fill=\"#4285F422\" stroke=\"#4285F466\"\/>\n             <line x1=\"200\" y1=\"40\" x2=\"240\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"250\" cy=\"40\" r=\"9\" fill=\"#E11D4822\" stroke=\"#E11D4866\"\/>\n             <line x1=\"260\" y1=\"40\" x2=\"300\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"310\" cy=\"40\" r=\"9\" fill=\"#22D3EE22\" stroke=\"#22D3EE66\"\/>\n             <line x1=\"319\" y1=\"40\" x2=\"380\" y2=\"40\" stroke=\"#3F3F46\"\/>\n             <rect x=\"380\" y=\"32\" width=\"20\" height=\"16\" rx=\"3\" fill=\"rgba(168,85,247,0.10)\" stroke=\"rgba(168,85,247,0.4)\"\/>\n             <text x=\"390\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#c4b5fd\">Dok.<\/text>\n           <\/svg>\n         <\/div>\n       <\/div>\n\n       <div class=\"sm-modes__panel\" role=\"tabpanel\" data-sm-modes-panel=\"1\">\n         <div class=\"sm-modes__panel-head\">\n           <span class=\"sm-modes__panel-avatar\">\n             <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect width=\"6\" height=\"6\" x=\"16\" y=\"16\" rx=\"1\"\/><rect width=\"6\" height=\"6\" x=\"2\" y=\"16\" rx=\"1\"\/><rect width=\"6\" height=\"6\" x=\"9\" y=\"2\" rx=\"1\"\/><path d=\"M5 16v-3a1 1 0 0 1 1-1h12a1 1 0 0 1 1 1v3m-7-4V8\"\/><\/svg>\n           <\/span>\n           <div class=\"sm-modes__panel-title-row\">\n             <h3 class=\"sm-modes__panel-title\">Super Mind<\/h3>\n             <span class=\"sm-modes__badge\">Am schnellsten<\/span>\n           <\/div>\n         <\/div>\n         <p class=\"sm-modes__panel-oneliner\">Alle f\u00fcnf antworten gleichzeitig. Eine sechste KI synthetisiert eine einheitliche Antwort, mit abgebildetem Konsens und Divergenz.<\/p>\n         <div class=\"sm-modes__panel-bestfor\">\n           <p class=\"sm-modes__panel-bestfor-label\">Am besten f\u00fcr:<\/p>\n           <p class=\"sm-modes__panel-bestfor-value\">Schnelle Entscheidungen, Faktenpr\u00fcfung, zeitkritische Calls<\/p>\n         <\/div>\n         <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/de\/modi\/super-mind-modus\/\">Mehr erfahren <span aria-hidden=\"true\">\u2192<\/span><\/a>\n         <div class=\"sm-modes__flow\">\n           <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Orchestrierungsablauf im Super Mind-Modus\">\n             <circle cx=\"30\" cy=\"40\" r=\"10\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.2)\"\/>\n             <text x=\"30\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#71717A\">Sie<\/text>\n             <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"15\" stroke=\"#3F3F46\"\/>\n             <circle cx=\"200\" cy=\"15\" r=\"7\" fill=\"#10A37F22\" stroke=\"#10A37F66\"\/>\n             <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"28\" stroke=\"#3F3F46\"\/>\n             <circle cx=\"200\" cy=\"28\" r=\"7\" fill=\"#D9775722\" stroke=\"#D9775766\"\/>\n             <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"41\" stroke=\"#3F3F46\"\/>\n             <circle cx=\"200\" cy=\"41\" r=\"7\" fill=\"#4285F422\" stroke=\"#4285F466\"\/>\n             <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"54\" stroke=\"#3F3F46\"\/>\n             <circle cx=\"200\" cy=\"54\" r=\"7\" fill=\"#E11D4822\" stroke=\"#E11D4866\"\/>\n             <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"67\" stroke=\"#3F3F46\"\/>\n             <circle cx=\"200\" cy=\"67\" r=\"7\" fill=\"#22D3EE22\" stroke=\"#22D3EE66\"\/>\n             <line x1=\"212\" y1=\"40\" x2=\"350\" y2=\"40\" stroke=\"#3F3F46\"\/>\n             <rect x=\"350\" y=\"32\" width=\"20\" height=\"16\" rx=\"3\" fill=\"rgba(168,85,247,0.10)\" stroke=\"rgba(168,85,247,0.4)\"\/>\n             <text x=\"360\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#c4b5fd\">Dok.<\/text>\n           <\/svg>\n         <\/div>\n       <\/div>\n\n       <div class=\"sm-modes__panel\" role=\"tabpanel\" data-sm-modes-panel=\"2\">\n         <div class=\"sm-modes__panel-head\">\n           <span class=\"sm-modes__panel-avatar\">\n             <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M3 6.5A1.5 1.5 0 0 1 4.5 5H13a1.5 1.5 0 0 1 1.5 1.5V11A1.5 1.5 0 0 1 13 12.5H7l-4 3z\"\/><path d=\"M9.5 16.5h7l4 3v-9A1.5 1.5 0 0 0 19 9h-1\"\/><\/svg>\n           <\/span>\n           <div class=\"sm-modes__panel-title-row\">\n             <h3 class=\"sm-modes__panel-title\">Debate<\/h3>\n           <\/div>\n         <\/div>\n         <p class=\"sm-modes__panel-oneliner\">KIs argumentieren zugewiesene Positionen nacheinander. Widerlegungen und Gegenargumente. Minderheitsmeinungen bleiben erhalten.<\/p>\n         <div class=\"sm-modes__panel-bestfor\">\n           <p class=\"sm-modes__panel-bestfor-label\">Am besten f\u00fcr:<\/p>\n           <p class=\"sm-modes__panel-bestfor-value\">Strategievalidierung, Stresstest der These<\/p>\n         <\/div>\n         <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/de\/modi\/super-mind-debate-modi\/\">Mehr erfahren <span aria-hidden=\"true\">\u2192<\/span><\/a>\n         <div class=\"sm-modes__flow\">\n           <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Orchestrierungsablauf im Debate-Modus\">\n             <circle cx=\"30\" cy=\"40\" r=\"10\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.2)\"\/>\n             <text x=\"30\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#71717A\">Sie<\/text>\n             <circle cx=\"70\" cy=\"40\" r=\"9\" fill=\"#10A37F22\" stroke=\"#10A37F66\"\/>\n             <line x1=\"80\" y1=\"40\" x2=\"120\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"130\" cy=\"40\" r=\"9\" fill=\"#D9775722\" stroke=\"#D9775766\"\/>\n             <line x1=\"140\" y1=\"40\" x2=\"180\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"190\" cy=\"40\" r=\"9\" fill=\"#4285F422\" stroke=\"#4285F466\"\/>\n             <line x1=\"200\" y1=\"40\" x2=\"240\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"250\" cy=\"40\" r=\"9\" fill=\"#E11D4822\" stroke=\"#E11D4866\"\/>\n             <line x1=\"260\" y1=\"40\" x2=\"300\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"310\" cy=\"40\" r=\"9\" fill=\"#22D3EE22\" stroke=\"#22D3EE66\"\/>\n             <text x=\"344\" y=\"44\" text-anchor=\"middle\" font-size=\"14\" font-weight=\"600\" fill=\"#c4b5fd\">\u00d73<\/text>\n             <line x1=\"358\" y1=\"40\" x2=\"380\" y2=\"40\" stroke=\"#3F3F46\"\/>\n             <rect x=\"380\" y=\"32\" width=\"20\" height=\"16\" rx=\"3\" fill=\"rgba(168,85,247,0.10)\" stroke=\"rgba(168,85,247,0.4)\"\/>\n             <text x=\"390\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#c4b5fd\">Dok.<\/text>\n           <\/svg>\n         <\/div>\n       <\/div>\n\n       <div class=\"sm-modes__panel\" role=\"tabpanel\" data-sm-modes-panel=\"3\">\n         <div class=\"sm-modes__panel-head\">\n           <span class=\"sm-modes__panel-avatar\">\n             <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14.5 17.5L3 6V3h3l11.5 11.5M13 19l6-6m-3 3l4 4m-1 1l2-2M14.5 6.5L18 3h3v3l-3.5 3.5M5 14l4 4m-2-1l-3 3m-1-1l2 2\"\/><\/svg>\n           <\/span>\n           <div class=\"sm-modes__panel-title-row\">\n             <h3 class=\"sm-modes__panel-title\">Red Team<\/h3>\n           <\/div>\n         <\/div>\n         <p class=\"sm-modes__panel-oneliner\">KIs greifen Ihren Plan nacheinander aus sechs Blickwinkeln an: Finanzen, Technik, Reputation, Regulatorik, Betrieb, Edge Cases.<\/p>\n         <div class=\"sm-modes__panel-bestfor\">\n           <p class=\"sm-modes__panel-bestfor-label\">Am besten f\u00fcr:<\/p>\n           <p class=\"sm-modes__panel-bestfor-value\">Pre-Launch-Validierung, Risikobewertung, Investment-Pre-Mortems<\/p>\n         <\/div>\n         <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/de\/modi\/red-team-modus\/\">Mehr erfahren <span aria-hidden=\"true\">\u2192<\/span><\/a>\n         <div class=\"sm-modes__flow\">\n           <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Orchestrierungsablauf im Red Team-Modus\">\n             <circle cx=\"30\" cy=\"40\" r=\"10\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.2)\"\/>\n             <text x=\"30\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#71717A\">Sie<\/text>\n             <circle cx=\"70\" cy=\"40\" r=\"9\" fill=\"#10A37F22\" stroke=\"#10A37F66\"\/>\n             <line x1=\"80\" y1=\"40\" x2=\"120\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"130\" cy=\"40\" r=\"9\" fill=\"#D9775722\" stroke=\"#D9775766\"\/>\n             <line x1=\"140\" y1=\"40\" x2=\"180\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"190\" cy=\"40\" r=\"9\" fill=\"#4285F422\" stroke=\"#4285F466\"\/>\n             <line x1=\"200\" y1=\"40\" x2=\"240\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"250\" cy=\"40\" r=\"9\" fill=\"#E11D4822\" stroke=\"#E11D4866\"\/>\n             <line x1=\"260\" y1=\"40\" x2=\"300\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"310\" cy=\"40\" r=\"9\" fill=\"#22D3EE22\" stroke=\"#22D3EE66\"\/>\n             <line x1=\"319\" y1=\"40\" x2=\"380\" y2=\"40\" stroke=\"#3F3F46\"\/>\n             <rect x=\"380\" y=\"32\" width=\"20\" height=\"16\" rx=\"3\" fill=\"rgba(168,85,247,0.10)\" stroke=\"rgba(168,85,247,0.4)\"\/>\n             <text x=\"390\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#c4b5fd\">Dok.<\/text>\n           <\/svg>\n         <\/div>\n       <\/div>\n\n       <div class=\"sm-modes__panel\" role=\"tabpanel\" data-sm-modes-panel=\"4\">\n         <div class=\"sm-modes__panel-head\">\n           <span class=\"sm-modes__panel-avatar\">\n             <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M6 18h8M3 22h18m-7 0a7 7 0 1 0 0-14h-1m-4 6h2m-2-2a2 2 0 0 1-2-2V6h6v4a2 2 0 0 1-2 2Zm3-6V3a1 1 0 0 0-1-1H9a1 1 0 0 0-1 1v3\"\/><\/svg>\n           <\/span>\n           <div class=\"sm-modes__panel-title-row\">\n             <h3 class=\"sm-modes__panel-title\">Research Symphony<\/h3>\n             <span class=\"sm-modes__badge\">Enterprise<\/span>\n           <\/div>\n         <\/div>\n         <p class=\"sm-modes__panel-oneliner\">Automatisierte Research-Pipeline, die Quellen abruft, analysiert, Fakten pr\u00fcft, hinterfragt und synthetisiert. Erstellt Reports mit 10.000+ W\u00f6rtern inklusive Zitaten.<\/p>\n         <div class=\"sm-modes__panel-bestfor\">\n           <p class=\"sm-modes__panel-bestfor-label\">Am besten f\u00fcr:<\/p>\n           <p class=\"sm-modes__panel-bestfor-value\">Deep Research, umfassende Reports<\/p>\n         <\/div>\n         <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/de\/modi\/research-symphony\/\">Mehr erfahren <span aria-hidden=\"true\">\u2192<\/span><\/a>\n         <div class=\"sm-modes__flow\">\n           <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Orchestrierungsablauf im Research Symphony-Modus\">\n             <circle cx=\"30\" cy=\"40\" r=\"10\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.2)\"\/>\n             <text x=\"30\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#71717A\">Sie<\/text>\n             <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"15\" stroke=\"#3F3F46\"\/>\n             <circle cx=\"200\" cy=\"15\" r=\"7\" fill=\"#10A37F22\" stroke=\"#10A37F66\"\/>\n             <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"28\" stroke=\"#3F3F46\"\/>\n             <circle cx=\"200\" cy=\"28\" r=\"7\" fill=\"#D9775722\" stroke=\"#D9775766\"\/>\n             <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"41\" stroke=\"#3F3F46\"\/>\n             <circle cx=\"200\" cy=\"41\" r=\"7\" fill=\"#4285F422\" stroke=\"#4285F466\"\/>\n             <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"54\" stroke=\"#3F3F46\"\/>\n             <circle cx=\"200\" cy=\"54\" r=\"7\" fill=\"#E11D4822\" stroke=\"#E11D4866\"\/>\n             <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"67\" stroke=\"#3F3F46\"\/>\n             <circle cx=\"200\" cy=\"67\" r=\"7\" fill=\"#22D3EE22\" stroke=\"#22D3EE66\"\/>\n             <line x1=\"212\" y1=\"40\" x2=\"350\" y2=\"40\" stroke=\"#3F3F46\"\/>\n             <rect x=\"350\" y=\"32\" width=\"20\" height=\"16\" rx=\"3\" fill=\"rgba(168,85,247,0.10)\" stroke=\"rgba(168,85,247,0.4)\"\/>\n             <text x=\"360\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#c4b5fd\">Dok.<\/text>\n           <\/svg>\n         <\/div>\n       <\/div>\n\n       <div class=\"sm-modes__panel\" role=\"tabpanel\" data-sm-modes-panel=\"5\">\n         <div class=\"sm-modes__panel-head\">\n           <span class=\"sm-modes__panel-avatar\">\n             <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"1\"\/><path d=\"M20.2 20.2c2.04-2.03.02-7.36-4.5-11.9c-4.54-4.52-9.87-6.54-11.9-4.5c-2.04 2.03-.02 7.36 4.5 11.9c4.54 4.52 9.87 6.54 11.9 4.5\"\/><path d=\"M15.7 15.7c4.52-4.54 6.54-9.87 4.5-11.9c-2.03-2.04-7.36-.02-11.9 4.5c-4.52 4.54-6.54 9.87-4.5 11.9c2.03 2.04 7.36.02 11.9-4.5\"\/><\/svg>\n           <\/span>\n           <div class=\"sm-modes__panel-title-row\">\n             <h3 class=\"sm-modes__panel-title\">First Principles<\/h3>\n             <span class=\"sm-modes__badge\">Pro+<\/span>\n           <\/div>\n         <\/div>\n         <p class=\"sm-modes__panel-oneliner\">Reduziert eine Frage auf das Wesentliche. Jedes Modell benennt seine Annahmen, identifiziert die zugrunde liegenden Axiome und baut die Analyse dann von Grund auf neu auf.<\/p>\n         <div class=\"sm-modes__panel-bestfor\">\n           <p class=\"sm-modes__panel-bestfor-label\">Am besten f\u00fcr:<\/p>\n           <p class=\"sm-modes__panel-bestfor-value\">Entscheidungen mit h\u00f6chstem Einsatz, bei denen Konventionen fragw\u00fcrdig sind<\/p>\n         <\/div>\n         <div class=\"sm-modes__flow\">\n           <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Orchestrierungsablauf im First Principles-Modus\">\n             <circle cx=\"30\" cy=\"40\" r=\"10\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.2)\"\/>\n             <text x=\"30\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#71717A\">Sie<\/text>\n             <circle cx=\"70\" cy=\"40\" r=\"9\" fill=\"#10A37F22\" stroke=\"#10A37F66\"\/>\n             <line x1=\"80\" y1=\"40\" x2=\"120\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"130\" cy=\"40\" r=\"9\" fill=\"#D9775722\" stroke=\"#D9775766\"\/>\n             <line x1=\"140\" y1=\"40\" x2=\"180\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"190\" cy=\"40\" r=\"9\" fill=\"#4285F422\" stroke=\"#4285F466\"\/>\n             <line x1=\"200\" y1=\"40\" x2=\"240\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"250\" cy=\"40\" r=\"9\" fill=\"#E11D4822\" stroke=\"#E11D4866\"\/>\n             <line x1=\"260\" y1=\"40\" x2=\"300\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n             <circle cx=\"310\" cy=\"40\" r=\"9\" fill=\"#22D3EE22\" stroke=\"#22D3EE66\"\/>\n             <line x1=\"319\" y1=\"40\" x2=\"380\" y2=\"40\" stroke=\"#3F3F46\"\/>\n             <rect x=\"380\" y=\"32\" width=\"20\" height=\"16\" rx=\"3\" fill=\"rgba(168,85,247,0.10)\" stroke=\"rgba(168,85,247,0.4)\"\/>\n             <text x=\"390\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#c4b5fd\">Dok.<\/text>\n           <\/svg>\n         <\/div>\n       <\/div>\n     <\/div>\n\n     <p class=\"sm-modes__footnote\">\n       Sequential, Debate, Red Team und First Principles nutzen alle sequenzielle Orchestrierung \u2013 jede KI baut auf dem auf, was zuvor kam. Der Super Mind-Modus l\u00e4uft parallel mit einer Synthese-Schicht. Verketten Sie jede Kombination mitten im Gespr\u00e4ch.\n     <\/p>\n   <\/div>\n \n\n        <div style=\"clear: both;\"><\/div>\n\n         <h3 style=\"font-size: 28px; font-weight: 700; text-align: center; margin: 80px 0 40px; color: white;\">Ihr Gespr\u00e4ch wird zu einem fertigen Ergebnis.<\/h3>\n\n         <div style=\"overflow: hidden;\">\n             <div style=\"float: left; width: 48%; padding: 40px; border: 2px solid rgba(255,255,255,0.08); border-radius: 12px; box-sizing: border-box;\">\n                 <h4 style=\"font-size: 20px; margin: 0 0 16px 0; font-weight: 600;\"><a href=\"https:\/\/suprmind.ai\/hub\/de\/der-adjudicator\/\" style=\"color: white; text-decoration: none;\">Der Adjudicator<\/a><\/h4>\n                 <p style=\"font-size: 16px; line-height: 1.6; margin: 0;\">\n                     \u00dcberwacht Ihr Gespr\u00e4ch in Echtzeit. Extrahiert jede Entscheidung, jedes Risiko, jede Uneinigkeit und jedes Action Item. Erstellt ein strukturiertes Entscheidungsbriefing mit einem Uneinigkeits-\/Korrektur-Index, der genau zeigt, wo die Modelle aneinandergeraten sind und was das f\u00fcr Ihre Entscheidung bedeutet.\n                 <\/p>\n             <\/div>\n             <div style=\"float: right; width: 48%; padding: 40px; border: 2px solid rgba(255,255,255,0.08); border-radius: 12px; box-sizing: border-box;\">\n                 <h4 style=\"font-size: 20px; margin: 0 0 16px 0; font-weight: 600;\"><a href=\"https:\/\/suprmind.ai\/hub\/de\/funktionen\/master-document-generator\/\" style=\"color: white; text-decoration: none;\">Master Document Generator<\/a><\/h4>\n                 <p style=\"font-size: 16px; line-height: 1.6; margin: 0;\">\n                     Exportiert Ihr Gespr\u00e4ch in \u00fcber 25 professionelle Vorlagen: Executive Briefs, Wettbewerbsanalysen, Strategie-Memos, Risikobewertungen, Forschungsarbeiten, Vorstandsberichte. Ein Klick. Formatiert und bereit als Markdown, PDF oder DOCX.\n                 <\/p>\n             <\/div>\n         <\/div>\n         <div style=\"clear: both;\"><\/div>\n     <\/div>\n <\/section>\n\n     <div class=\"sg-cta\" data-cta-position=\"post-modes\" data-cta-provider=\"hallu-lp\">\n         <h2>Sie kennen jetzt die sechs Modi. <br>Lassen Sie eine echte Entscheidung durch sie laufen.<\/h2>\n         <p class=\"sg-cta__sub\">Starten Sie in Sequential \u2013 vier f\u00fchrende KIs, die sich bei Ihrer konkreten Frage gegenseitig lesen. Fangen sie auch nur eine Sache ab, die Ihnen entgangen w\u00e4re, hat sich die Woche bereits gelohnt.<\/p>\n         <a class=\"sg-cta__btn\" href=\"\/signup\/spark\" data-cta-position=\"post-modes\" data-cta-provider=\"hallu-lp\" data-cta-variant=\"run-real-decision\">Echte Entscheidung kostenlos pr\u00fcfen<\/a>\n         <p class=\"sg-cta__fine\">7 Tage kostenlos. Keine Kreditkarte. Sequential und Super Mind in der Testphase \u2013 Debate und Red Team kommen mit Pro dazu.<\/p>\n     <\/div>\n\n \n <section class=\"sm-section sm-section--dark sm-testimonials-section\" style=\"max-width: 1000px; margin: 0 auto; text-align: center;\">\n         <div class=\"section-label\">Echte Arbeit<\/div>\n         <h2>Gebaut f\u00fcr Menschen, die Entscheidungen brauchen, <br\/>die jeder Pr\u00fcfung standhalten.<\/h2>\n\n   <div class=\"sm-section__inner\">\n     <div class=\"sm-testimonials__grid\">\n       <figure class=\"sm-testimonials__featured\">\n         <svg class=\"sm-testimonials__quote-mark\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\">\n           <path d=\"M3 21V13H7C7 10.79 5.21 9 3 9V7C6.31 7 9 9.69 9 13V21H3ZM15 21V13H19C19 10.79 17.21 9 15 9V7C18.31 7 21 9.69 21 13V21H15Z\"\/>\n         <\/svg>\n         <blockquote class=\"sm-testimonials__featured-quote\">\n           \u201e5 KIs waren eine Go-to-Ressource beim Aufbau unseres neuen Business-Ventures in NYC. Vom Red Teaming der ersten Idee (mit hartem Feedback) \u00fcber Studio-Markt- und Wettbewerbsanalyse bis hin zum t\u00e4glichen Brainstorming zu Launch-Phasen und Website-Setup. Jede Idee an 5 KIs spiegeln zu k\u00f6nnen, eine klar gefilterte Antwort und eine To-do-Liste in 10 Minuten zu bekommen, hilft enorm.\u201c\n         <\/blockquote>\n         <figcaption class=\"sm-testimonials__caption\">\n           <span class=\"sm-testimonials__avatar sm-testimonials__avatar--lg\" aria-hidden=\"true\">LF<\/span>\n           <div>\n             <p class=\"sm-testimonials__author\">Luka Funduk<\/p>\n             <p class=\"sm-testimonials__role\">CEO, OFF Studio NYC &#038; Funduck Production<\/p>\n           <\/div>\n         <\/figcaption>\n       <\/figure>\n\n       <div class=\"sm-testimonials__column\">\n         <figure class=\"sm-testimonials__card\">\n           <blockquote class=\"sm-testimonials__card-quote\">\n             \u201eIch habe es f\u00fcr Wettbewerbsrecherche genutzt, und es hat sich einfach immer weiter ausgedehnt \u2013 neue M\u00e4rkte, Risiko-Reviews, Compliance-Dokumente. F\u00fcnf verschiedene Blickwinkel auf dieselbe Frage fangen Dinge ab, die ich \u00fcbersehen h\u00e4tte.\u201c\n           <\/blockquote>\n           <figcaption class=\"sm-testimonials__card-caption\">\n             <span class=\"sm-testimonials__avatar\" aria-hidden=\"true\">AW<\/span>\n             <div>\n               <p class=\"sm-testimonials__author\">Aaron Weller<\/p>\n               <p class=\"sm-testimonials__role\">CEO &amp; Mitgr\u00fcnder, Miss Amara<\/p>\n             <\/div>\n           <\/figcaption>\n         <\/figure>\n\n         <figure class=\"sm-testimonials__card\">\n           <blockquote class=\"sm-testimonials__card-quote\">\n             \u201eWir lassen jetzt alles durch Suprmind laufen \u2013 neue Business-Ideen, Kundenvertr\u00e4ge, Marketingstrategien. Dass f\u00fcnf KIs in einem Thread gegeneinander argumentieren, hat Stunden an Zweifeln zwischen Tools ersetzt.\u201c\n           <\/blockquote>\n           <figcaption class=\"sm-testimonials__card-caption\">\n             <span class=\"sm-testimonials__avatar\" aria-hidden=\"true\">MD<\/span>\n             <div>\n               <p class=\"sm-testimonials__author\">Milica D.<\/p>\n               <p class=\"sm-testimonials__role\">Mitgr\u00fcnderin &amp; COO, Global Digital Marketing Agency<\/p>\n             <\/div>\n           <\/figcaption>\n         <\/figure>\n\n         <figure class=\"sm-testimonials__card\">\n           <blockquote class=\"sm-testimonials__card-quote\">\n             \u201eF\u00fcr die Analyse von Businesspl\u00e4nen und die Bewertung von Kundenprozessen ist die Tiefe, die man bekommt, wenn f\u00fcnf Modelle einander lesen, wirklich anders. Allein der Master Document-Export mit Custom Prompt spart mir Stunden bei den finalen Reports.\u201c\n           <\/blockquote>\n           <figcaption class=\"sm-testimonials__card-caption\">\n             <span class=\"sm-testimonials__avatar\" aria-hidden=\"true\">MT<\/span>\n             <div>\n               <p class=\"sm-testimonials__author\">Milos Tanasijevic<\/p>\n               <p class=\"sm-testimonials__role\">Leitender internationaler Berater, EBRD &#8211; European Bank for Reconstruction and Development<\/p>\n             <\/div>\n           <\/figcaption>\n         <\/figure>\n       <\/div>\n     <\/div>\n   <\/div>\n <\/section>\n \n\n <section style=\"padding: 50px 48px;\">\n     <div class=\"stats\">\n         <div class=\"stat-item\" style=\"border: 2px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n             <div class=\"stat-number\">5<\/div>\n             <div class=\"stat-label\">F\u00fchrende Modelle<\/div>\n         <\/div>\n         <div class=\"stat-item\" style=\"border: 2px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n             <div class=\"stat-number\">6<\/div>\n             <div class=\"stat-label\">Orchestrierungs-Modi<\/div>\n         <\/div>\n         <div class=\"stat-item\" style=\"border: 2px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n             <div class=\"stat-number\">25+<\/div>\n             <div class=\"stat-label\">Master Document-Vorlagen<\/div>\n         <\/div>\n         <div class=\"stat-item\" style=\"border: 2px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n             <div class=\"stat-number\">10K+<\/div>\n             <div class=\"stat-label\">W\u00f6rter pro Research Symphony-Bericht<\/div>\n         <\/div>\n     <\/div>\n     <div style=\"text-align: center; margin-top: 48px;\">\n         <p style=\"font-size: 18px; color: #e5e7eb; font-style: italic; letter-spacing: 0.3px;\">\n             Uneinigkeit ist das Feature.\n         <\/p>\n     <\/div>\n <\/section>\n\n <section style=\"padding: 100px 48px;\">\n     <div class=\"cta-section\">\n         <h2>H\u00f6ren Sie auf, einer einzelnen KI zu vertrauen, <br \/>dass sie Ihnen sagt, wenn sie falsch liegt. Sie kann es nicht.<\/h2>\n         <p class=\"cta-subtitle\">\n             Lassen Sie Ihre n\u00e4chste schwierige Frage in einem Gespr\u00e4ch durch f\u00fcnf f\u00fchrende Modelle laufen. Beobachten Sie, wie sie sich gegenseitig faktenchecken, sich widersprechen und Ihnen ein Ergebnis liefern, das Sie tats\u00e4chlich verteidigen k\u00f6nnen.\n         <\/p>\n <div class=\"hero-cta-group\">\n         <a href=\"\/signup\/spark\" class=\"btn-white\">Kostenlose Testphase starten<\/a>\n <\/div>\n         <p style=\"margin-top: 24px; font-size: 14px; opacity: 0.7;\">7 Tage kostenlos. Keine Kreditkarte. Grok, GPT, Claude und Gemini in der Testphase \u2013 Perplexity kommt mit Pro dazu.<\/p>\n     <\/div>\n <\/section>\n\n <section id=\"faq\" aria-labelledby=\"faq-heading\">\n     <p class=\"section-label\">FAQ<\/p>\n     <h2 id=\"faq-heading\">Welche KI halluziniert am wenigsten? <br \/>Direkte Antworten auf die Frage selbst.<\/h2>\n\n     <div class=\"faq-accordion\">\n         <details class=\"faq-item\" open>\n             <summary class=\"faq-question\">\n                 <span>Welche KI halluziniert 2026 am wenigsten?<\/span>\n                <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">Kein einzelnes KI-Modell gewinnt bei jeder Aufgabe. Benchmarks sehen jeweils andere Modelle vorn \u2013 je nachdem, ob Sie die Treue von Zusammenfassungen, die Zitiergenauigkeit, die quellengest\u00fctzte Faktentreue oder allgemeines logisches Denken testen: Vectara setzt ein Modell an die Spitze, AA-Omniscience ein anderes, FACTS ein drittes. Die praktische Antwort f\u00fcr echte Arbeit ist nicht das eine Modell mit der niedrigsten Halluzinationsrate. Sondern f\u00fcnf f\u00fchrende Modelle in einem Gespr\u00e4ch, die sich gegenseitig korrigieren \u2013 abgesichert durch einen unabh\u00e4ngigen Pr\u00fcfer, der die Aussagen kontrolliert, die keines von ihnen hinterfragt hat. Suprmind nennt das das KI-Anti-Halluzinogen. <a href=\"https:\/\/suprmind.ai\/hub\/de\/ki-halluzinationsstatistiken-forschungsbericht-2026\/\" style=\"color: #fff; text-decoration: underline;\">Die vollst\u00e4ndige Benchmark-Auswertung 2026 ansehen.<\/a><\/p>\n             <\/div>\n         <\/details>\n\n         <details class=\"faq-item\">\n             <summary class=\"faq-question\">\n                 <span>Welches LLM hat die niedrigste Halluzinationsrate?<\/span>\n                 <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">In jedem einzelnen Benchmark sehen Sie eine Rangliste mit einem Modell an der Spitze. Diese Zahlen gelten f\u00fcr genau diesen Test \u2013 und lassen sich nicht auf jede gesch\u00e4ftliche Frage \u00fcbertragen. Vectara HHEM misst die Treue zu einem Quelldokument. AA-Omniscience misst, ob ein Modell wei\u00df, was es nicht wei\u00df. FACTS misst die quellengest\u00fctzte Faktentreue in vier verschiedenen Bereichen. Ein Modell, das in einem Benchmark am besten abschneidet, landet in einem anderen regelm\u00e4\u00dfig im Mittelfeld. Suprmind behandelt Benchmarks als Eingaben f\u00fcr die Modellauswahl innerhalb der Plattform, nicht als Beweis, dass ein LLM bei Ihrer konkreten Arbeit unfehlbar ist.<\/p>\n             <\/div>\n         <\/details>\n\n         <details class=\"faq-item\">\n             <summary class=\"faq-question\">\n                 <span>Welche KI halluziniert bei Gesch\u00e4ftsentscheidungen am wenigsten?<\/span>\n                <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">Bei Arbeit mit hohem Einsatz \u2013 \u00dcbernahmen, IC-Memos, Compliance-Pr\u00fcfungen, rechtliche Auslegung, Strategievalidierung \u2013 ist das pr\u00e4ziseste KI-Setup ein Multi-KI-System, das Uneinigkeit sichtbar macht, und keine einzelne KI, die auf einen Benchmark optimiert ist. In 1.324 von Suprmind gemessenen Produktionsdurchl\u00e4ufen brachten 99,1 % der Multi-KI-Durchl\u00e4ufe mindestens einen Widerspruch, eine Korrektur oder einen einzigartigen Insight hervor, der einem einzelnen Modell entgangen w\u00e4re. Genau diese Kategorie besetzt Suprmind \u2013 den Workflow, der auff\u00e4ngt, was eine KI allein nicht kann.<\/p>\n             <\/div>\n         <\/details>\n\n         <details class=\"faq-item\">\n             <summary class=\"faq-question\">\n                 <span>Kann eine KI Halluzinationen vollst\u00e4ndig eliminieren?<\/span>\n                <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">Kein System auf Basis heutiger gro\u00dfer Sprachmodelle kann Halluzinationen eliminieren. Jede f\u00fchrende KI erfindet in gewissem Ma\u00df Dinge, besonders bei Fragen, die Zitate, Recherche oder realen Faktenbezug erfordern. Suprmind behebt das nicht auf Modellebene, weil es sich dort nicht beheben l\u00e4sst. Suprmind setzt strukturell an: F\u00fcnf Modelle in einem Gespr\u00e4ch bedeuten, dass jeder Antwort von der n\u00e4chsten widersprochen werden kann, und ein unabh\u00e4ngiger Pr\u00fcfer gleicht jede riskante Aussage mit aktuellen Quellen ab und korrigiert Falsches, bevor es in Ihrem Dokument landet. Die Erfindung passiert trotzdem. Sie \u00fcberlebt nur nicht.<\/p>\n             <\/div>\n         <\/details>\n\n         <details class=\"faq-item\">\n             <summary class=\"faq-question\">\n                 <span>Warum f\u00fcnf KI-Modelle verwenden statt nur das einzelne beste?<\/span>\n                <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">KI-Modelle scheitern auf unterschiedliche Weise. GPT, Claude, Gemini, Grok und Perplexity wurden mit unterschiedlichen Daten, unterschiedlichen Denkmustern, unterschiedlichem Tool-Zugriff und unterschiedlichen Schutzmechanismen trainiert. Wenn alle f\u00fcnf dieselbe Frage in einem gemeinsamen Thread bearbeiten, prallen ihre Fehlermuster sichtbar aufeinander, statt sich im Verborgenen zu verst\u00e4rken. Im Forschungsdatensatz von Suprmind erkannte Perplexity 9,77-mal mehr modell\u00fcbergreifende Fehler als Gemini \u2013 das hei\u00dft: F\u00fcr welches einzelne Modell Sie sich auch entschieden h\u00e4tten, die anderen waren so positioniert, dass sie auffangen konnten, was es \u00fcbersehen hat. Das ist in der Praxis der Workflow mit den geringsten Halluzinationen: keine Wette auf das \u201ebeste Modell\u201c, sondern modell\u00fcbergreifende Verifikation mit f\u00fcnf Modellen.<\/p>\n             <\/div>\n         <\/details>\n\n         <details class=\"faq-item\">\n             <summary class=\"faq-question\">\n                 <span>Welches LLM halluziniert bei Compliance- und Regulierungsarbeit am wenigsten?<\/span>\n                 <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">Bei Compliance-Arbeit besteht das Risiko nicht nur in erfundenen Fakten, sondern in \u00fcbertriebener Sicherheit. Eine einzelne KI liest eine mehrdeutige Regulierungsklausel und produziert eine selbstsichere Auslegung, ohne zu markieren, dass die Auslegung umstritten ist. Der Red Team-Modus von Suprmind weist Modellen sechs Angriffsvektoren zu, die speziell regulatorische Risiken einschlie\u00dfen \u2013 ein Modell hat die Aufgabe, herauszufinden, wo die Ausgabe sicherer auftritt, als es die zugrunde liegende Regulierung hergibt. Wo die f\u00fcnf Modelle bei der Auslegung divergieren, haben Sie genau dort echte Mehrdeutigkeit, und genau dort h\u00e4tte eine einzelne KI sie verborgen.<\/p>\n             <\/div>\n         <\/details>\n\n         <details class=\"faq-item\">\n             <summary class=\"faq-question\">\n                 <span>Wie viel kostet Suprmind?<\/span>\n                <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">Spark beginnt bei 19 $\/Monat mit einer 7-t\u00e4gigen kostenlosen Testphase ohne Kreditkarte \u2013 vier f\u00fchrende KI-Modelle (Perplexity kommt mit Pro dazu) sowie Sequential- und Super Mind-Orchestrierung. Pro kostet 45 $\/Monat und erg\u00e4nzt Perplexity, die Modi Debate, Red Team und First Principles sowie die vollst\u00e4ndige Decision-Intelligence-Ebene. Frontier kostet 95 $\/Monat mit dem kompletten Modell-Lineup und dem arbeitsbereichs\u00fcbergreifenden Ged\u00e4chtnis von Master Project. Power kostet 195 $\/Monat mit eigenen API-Schl\u00fcsseln (Bring Your Own Key) und der h\u00f6chsten Nutzungskapazit\u00e4t aller Self-Service-Tarife. Enterprise-Preise gelten pro Nutzerplatz plus ein verwaltetes KI-Kontingent, das in einem Erstgespr\u00e4ch festgelegt wird. Ein Abonnement deckt jedes Modell Ihres Tarifs ab \u2013 ohne zus\u00e4tzliche Geb\u00fchren f\u00fcr ChatGPT Plus, Claude Pro oder Perplexity Pro obendrauf. <a href=\"https:\/\/suprmind.ai\/hub\/de\/preise\/\" style=\"color: #fff; text-decoration: underline;\">Alle Tarife ansehen.<\/a><\/p>\n             <\/div>\n         <\/details>\n     <\/div>\n <\/section>\n\n <section style=\"padding: 40px 48px; text-align: center;\">\n     <p style=\"font-size: 16px; color: #e5e7eb; font-weight: 500; margin-bottom: 8px;\">\n         Uneinigkeit ist das Feature.\n     <\/p>\n     <p style=\"font-size: 14px; color: #e5e7eb; font-style: italic;\">\n         Eine Multi-KI-Plattform f\u00fcr Profis, die mehr als nur eine Perspektive brauchen.\n     <\/p>\n <\/section>\n\n <\/div>\n <\/div>","protected":false},"excerpt":{"rendered":"<p>Eine einzelne KI halluziniert selbstbewusst \u2013 und niemand ist da, der sie korrigiert.<br \/>\nSuprmind l\u00e4sst Ihre Frage durch f\u00fcnf f\u00fchrende KI-Modelle laufen, die einander lesen und offen widersprechen \u2013 sodass, wenn ein Modell falschliegt, die anderen es abfangen, bevor es Ihre Entscheidung erreicht.<br \/>\nDas ist die praktische Antwort auf \u201eWelche KI halluziniert am wenigsten?\u201c \u2013 nicht ein einzelnes Modell, sondern ein Workflow, in dem eine falsche Antwort nicht \u00fcberleben kann<br \/>\ngegen\u00fcber vier anderen KIs.<\/p>\n","protected":false},"author":1,"featured_media":7884,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"supr-pricing.php","meta":{"wpai_generated_summary":"","wpai_meta_description":"","footnotes":""},"tags":[],"class_list":["post-5630","page","type-page","status-publish","has-post-thumbnail","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"Kein einzelnes KI-Modell hat die niedrigste Halluzinationsrate. Suprmind reduziert Halluzinationen, indem Fragen durch 5 f\u00fchrende KI-Modelle laufen, die sich widersprechen, bevor Sie entscheiden\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO Pro (AIOSEO) 5.0.1.1\" \/>\n\t\t<meta property=\"og:locale\" content=\"de_DE\" \/>\n\t\t<meta property=\"og:site_name\" content=\"Suprmind - Multi AI Conversational Platform for Professionals\" \/>\n\t\t<meta property=\"og:type\" content=\"website\" \/>\n\t\t<meta property=\"og:title\" content=\"Welche KI halluziniert am wenigsten? | Niedrigstes Risiko durch Design \u2013 Suprmind\" \/>\n\t\t<meta property=\"og:description\" content=\"Kein einzelnes KI-Modell hat die niedrigste Halluzinationsrate. Suprmind reduziert Halluzinationen, indem Fragen durch 5 f\u00fchrende KI-Modelle laufen, die sich widersprechen, bevor Sie entscheiden\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/\" \/>\n\t\t<meta property=\"fb:app_id\" content=\"27404668069175546\" \/>\n\t\t<meta property=\"fb:admins\" content=\"567083258\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/suprmind.ai\/hub\/wp-content\/uploads\/2026\/08\/five-is-smarter_suprmind.webp?wsr\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/suprmind.ai\/hub\/wp-content\/uploads\/2026\/08\/five-is-smarter_suprmind.webp?wsr\" \/>\n\t\t<meta property=\"og:image:width\" content=\"1600\" \/>\n\t\t<meta property=\"og:image:height\" content=\"900\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n\t\t<meta name=\"twitter:site\" content=\"@suprmind_ai\" \/>\n\t\t<meta name=\"twitter:title\" content=\"Welche KI halluziniert am wenigsten? | Niedrigstes Risiko durch Design \u2013 Suprmind\" \/>\n\t\t<meta name=\"twitter:description\" content=\"Kein einzelnes KI-Modell hat die niedrigste Halluzinationsrate. Suprmind reduziert Halluzinationen, indem Fragen durch 5 f\u00fchrende KI-Modelle laufen, die sich widersprechen, bevor Sie entscheiden\" \/>\n\t\t<meta name=\"twitter:creator\" content=\"@RadomirBasta\" \/>\n\t\t<meta name=\"twitter:image\" content=\"https:\/\/suprmind.ai\/hub\/wp-content\/uploads\/2026\/08\/five-is-smarter_suprmind.webp?wsr\" \/>\n\t\t<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t\t<meta name=\"twitter:data1\" content=\"Radomir Basta\" \/>\n\t\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t\t<meta name=\"twitter:data2\" content=\"23 minutes\" \/>\n\t\t<script type=\"application\/ld+json\" class=\"aioseo-schema\">\n\t\t\t{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/ki-mit-der-niedrigsten-halluzinationsrate\\\/#breadcrumblist\",\"itemListElement\":[{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/ki-mit-der-niedrigsten-halluzinationsrate\\\/#listItem\",\"position\":1,\"name\":\"KI mit der niedrigsten Halluzinationsrate\"}]},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/#organization\",\"name\":\"Suprmind\",\"description\":\"Suprmind is the multi-model AI decision intelligence chat platform for professionals who cannot afford wrong AI answers. Five frontier models - GPT, Claude, Gemini, Grok, Perplexity - challenge and collaborate in a single conversation thread - each model sees and builds on all previous responses, so hallucinations and errors get caught before they reach your strategy, report, or deal. You ask hard questions, they argue, you win. Disagreement is the feature.\",\"url\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/\",\"email\":\"hello@suprmind.ai\",\"foundingDate\":\"2025-08-01\",\"numberOfEmployees\":{\"@type\":\"QuantitativeValue\",\"minValue\":1,\"maxValue\":4},\"logo\":{\"@type\":\"ImageObject\",\"url\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/wp-content\\\/uploads\\\/2026\\\/02\\\/suprmind-slash-new-bold-italic.png?wsr\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/ki-mit-der-niedrigsten-halluzinationsrate\\\/#organizationLogo\",\"width\":1920,\"height\":1822,\"caption\":\"Suprmind\"},\"image\":{\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/ki-mit-der-niedrigsten-halluzinationsrate\\\/#organizationLogo\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/suprmind.platform\",\"https:\\\/\\\/x.com\\\/suprmind_ai\",\"https:\\\/\\\/www.instagram.com\\\/suprmind.ai\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/suprmind\\\/\"]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/ki-mit-der-niedrigsten-halluzinationsrate\\\/#webpage\",\"url\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/ki-mit-der-niedrigsten-halluzinationsrate\\\/\",\"name\":\"Welche KI halluziniert am wenigsten? | Niedrigstes Risiko durch Design \\u2013 Suprmind\",\"description\":\"Kein einzelnes KI-Modell hat die niedrigste Halluzinationsrate. Suprmind reduziert Halluzinationen, indem Fragen durch 5 f\\u00fchrende KI-Modelle laufen, die sich widersprechen, bevor Sie entscheiden\",\"inLanguage\":\"de-DE\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/#website\"},\"breadcrumb\":{\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/ki-mit-der-niedrigsten-halluzinationsrate\\\/#breadcrumblist\"},\"image\":{\"@type\":\"ImageObject\",\"url\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/five-is-smarter_suprmind.webp?wsr\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/ki-mit-der-niedrigsten-halluzinationsrate\\\/#mainImage\",\"width\":1600,\"height\":900,\"caption\":\"Multi AI orchestrator by Suprmind: Five is smarter than one.\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/ki-mit-der-niedrigsten-halluzinationsrate\\\/#mainImage\"},\"datePublished\":\"2026-05-26T11:19:56+00:00\",\"dateModified\":\"2026-10-06T18:46:27+00:00\"},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/#website\",\"url\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/\",\"name\":\"Suprmind\",\"alternateName\":\"Suprmind.ai\",\"description\":\"Multi AI Conversational Platform for Professionals\",\"inLanguage\":\"de-DE\",\"publisher\":{\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/de\\\/#organization\"}}]}\n\t\t<\/script>\n\t\t<!-- All in One SEO Pro -->\r\n\t\t<title>Welche KI halluziniert am wenigsten? | Niedrigstes Risiko durch Design \u2013 Suprmind<\/title>\n\n","aioseo_head_json":{"title":"Welche KI halluziniert am wenigsten? | Niedrigstes Risiko durch Design \u2013 Suprmind","description":"Kein einzelnes KI-Modell hat die niedrigste Halluzinationsrate. Suprmind reduziert Halluzinationen, indem Fragen durch 5 f\u00fchrende KI-Modelle laufen, die sich widersprechen, bevor Sie entscheiden","canonical_url":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"BreadcrumbList","@id":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/#breadcrumblist","itemListElement":[{"@type":"ListItem","@id":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/#listItem","position":1,"name":"KI mit der niedrigsten Halluzinationsrate"}]},{"@type":"Organization","@id":"https:\/\/suprmind.ai\/hub\/de\/#organization","name":"Suprmind","description":"Suprmind is the multi-model AI decision intelligence chat platform for professionals who cannot afford wrong AI answers. Five frontier models - GPT, Claude, Gemini, Grok, Perplexity - challenge and collaborate in a single conversation thread - each model sees and builds on all previous responses, so hallucinations and errors get caught before they reach your strategy, report, or deal. You ask hard questions, they argue, you win. Disagreement is the feature.","url":"https:\/\/suprmind.ai\/hub\/de\/","email":"hello@suprmind.ai","foundingDate":"2025-08-01","numberOfEmployees":{"@type":"QuantitativeValue","minValue":1,"maxValue":4},"logo":{"@type":"ImageObject","url":"https:\/\/suprmind.ai\/hub\/wp-content\/uploads\/2026\/02\/suprmind-slash-new-bold-italic.png?wsr","@id":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/#organizationLogo","width":1920,"height":1822,"caption":"Suprmind"},"image":{"@id":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/#organizationLogo"},"sameAs":["https:\/\/www.facebook.com\/suprmind.platform","https:\/\/x.com\/suprmind_ai","https:\/\/www.instagram.com\/suprmind.ai","https:\/\/www.linkedin.com\/company\/suprmind\/"]},{"@type":"WebPage","@id":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/#webpage","url":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/","name":"Welche KI halluziniert am wenigsten? | Niedrigstes Risiko durch Design \u2013 Suprmind","description":"Kein einzelnes KI-Modell hat die niedrigste Halluzinationsrate. Suprmind reduziert Halluzinationen, indem Fragen durch 5 f\u00fchrende KI-Modelle laufen, die sich widersprechen, bevor Sie entscheiden","inLanguage":"de-DE","isPartOf":{"@id":"https:\/\/suprmind.ai\/hub\/de\/#website"},"breadcrumb":{"@id":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/#breadcrumblist"},"image":{"@type":"ImageObject","url":"https:\/\/suprmind.ai\/hub\/wp-content\/uploads\/2026\/08\/five-is-smarter_suprmind.webp?wsr","@id":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/#mainImage","width":1600,"height":900,"caption":"Multi AI orchestrator by Suprmind: Five is smarter than one."},"primaryImageOfPage":{"@id":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/#mainImage"},"datePublished":"2026-05-26T11:19:56+00:00","dateModified":"2026-10-06T18:46:27+00:00"},{"@type":"WebSite","@id":"https:\/\/suprmind.ai\/hub\/de\/#website","url":"https:\/\/suprmind.ai\/hub\/de\/","name":"Suprmind","alternateName":"Suprmind.ai","description":"Multi AI Conversational Platform for Professionals","inLanguage":"de-DE","publisher":{"@id":"https:\/\/suprmind.ai\/hub\/de\/#organization"}}]},"og:locale":"de_DE","og:site_name":"Suprmind - Multi AI Conversational Platform for Professionals","og:type":"website","og:title":"Welche KI halluziniert am wenigsten? | Niedrigstes Risiko durch Design \u2013 Suprmind","og:description":"Kein einzelnes KI-Modell hat die niedrigste Halluzinationsrate. Suprmind reduziert Halluzinationen, indem Fragen durch 5 f\u00fchrende KI-Modelle laufen, die sich widersprechen, bevor Sie entscheiden","og:url":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/","fb:app_id":"27404668069175546","fb:admins":"567083258","og:image":"https:\/\/suprmind.ai\/hub\/wp-content\/uploads\/2026\/08\/five-is-smarter_suprmind.webp?wsr","og:image:secure_url":"https:\/\/suprmind.ai\/hub\/wp-content\/uploads\/2026\/08\/five-is-smarter_suprmind.webp?wsr","og:image:width":1600,"og:image:height":900,"twitter:card":"summary_large_image","twitter:site":"@suprmind_ai","twitter:title":"Welche KI halluziniert am wenigsten? | Niedrigstes Risiko durch Design \u2013 Suprmind","twitter:description":"Kein einzelnes KI-Modell hat die niedrigste Halluzinationsrate. Suprmind reduziert Halluzinationen, indem Fragen durch 5 f\u00fchrende KI-Modelle laufen, die sich widersprechen, bevor Sie entscheiden","twitter:creator":"@RadomirBasta","twitter:image":"https:\/\/suprmind.ai\/hub\/wp-content\/uploads\/2026\/08\/five-is-smarter_suprmind.webp?wsr","twitter:label1":"Written by","twitter:data1":"Radomir Basta","twitter:label2":"Est. reading time","twitter:data2":"23 minutes"},"aioseo_meta_data":{"post_id":"5630","title":"Welche KI halluziniert am wenigsten? | Niedrigstes Risiko durch Design \u2013 Suprmind ","description":"Kein einzelnes KI-Modell hat die niedrigste Halluzinationsrate. Suprmind reduziert Halluzinationen, indem Fragen durch 5 f\u00fchrende KI-Modelle laufen, die sich widersprechen, bevor Sie entscheiden ","keywords":null,"keyphrases":{"focus":{"keyphrase":"lowest hallucination AI","score":44,"analysis":{"keyphraseInTitle":{"score":3,"maxScore":9,"error":1},"keyphraseInDescription":{"score":3,"maxScore":9,"error":1},"keyphraseLength":{"score":9,"maxScore":9,"error":0,"length":3},"keyphraseInURL":{"score":5,"maxScore":5,"error":0},"keyphraseInIntroduction":{"score":3,"maxScore":9,"error":1},"keyphraseInSubHeadings":{"score":3,"maxScore":9,"error":1},"keyphraseInImageAlt":[],"keywordDensity":{"score":0,"type":"low","maxScore":9,"error":1}}},"additional":[]},"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_custom_url":null,"og_image_custom_fields":null,"og_custom_image_width":null,"og_custom_image_height":null,"og_video":"","og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":true,"twitter_card":"default","twitter_image_type":"default","twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema_type":null,"schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":"-1","robots_max_videopreview":"-1","robots_max_imagepreview":"none","tabs":null,"priority":null,"frequency":"default","local_seo":null,"seo_analyzer_scan_date":"2026-10-06 18:47:28","created":"2026-05-27 04:59:05","updated":"2026-10-06 18:47:28","og_image_url":null,"twitter_image_url":null,"primary_term":null,"og_image_width":null,"og_image_height":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"WebPage","isEnabled":true},"graphs":[]},"limit_modified_date":false,"ai":null,"breadcrumb_settings":null,"focus_keyword":"lowest hallucination AI","additional_keywords":null,"truseo_locale":null},"aioseo_breadcrumb":null,"aioseo_breadcrumb_json":[{"label":"KI mit der niedrigsten Halluzinationsrate","link":"https:\/\/suprmind.ai\/hub\/de\/ki-mit-der-niedrigsten-halluzinationsrate\/"}],"_links":{"self":[{"href":"https:\/\/suprmind.ai\/hub\/de\/wp-json\/wp\/v2\/pages\/5630","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/suprmind.ai\/hub\/de\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/suprmind.ai\/hub\/de\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/suprmind.ai\/hub\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/suprmind.ai\/hub\/de\/wp-json\/wp\/v2\/comments?post=5630"}],"version-history":[{"count":5,"href":"https:\/\/suprmind.ai\/hub\/de\/wp-json\/wp\/v2\/pages\/5630\/revisions"}],"predecessor-version":[{"id":8801,"href":"https:\/\/suprmind.ai\/hub\/de\/wp-json\/wp\/v2\/pages\/5630\/revisions\/8801"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/suprmind.ai\/hub\/de\/wp-json\/wp\/v2\/media\/7884"}],"wp:attachment":[{"href":"https:\/\/suprmind.ai\/hub\/de\/wp-json\/wp\/v2\/media?parent=5630"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/suprmind.ai\/hub\/de\/wp-json\/wp\/v2\/tags?post=5630"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}