{"id":5530,"date":"2026-05-26T11:19:56","date_gmt":"2026-05-26T11:19:56","guid":{"rendered":"https:\/\/suprmind.ai\/hub\/?page_id=5530"},"modified":"2026-08-31T21:06:05","modified_gmt":"2026-08-31T21:06:05","slug":"lowest-hallucination-ai","status":"publish","type":"page","link":"https:\/\/suprmind.ai\/hub\/lowest-hallucination-ai\/","title":{"rendered":"Lowest Hallucination AI"},"content":{"rendered":"<div class=\"suprmind-pricing-page\">\n\n    <!-- HERO (2-col on desktop: copy left, live champion card right) -->\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;\">For work where a confident wrong answer costs money.<\/span>\n     <h1>The Lowest-Hallucination AI Is a Platform, Not a Model.<\/h1>\n\n     <p class=\"subtitle\">Every frontier model fabricates, and not one of them warns you when it does. Suprmind runs five of them in one conversation where each reads the others and calls out what does not hold.<\/p>\n<br>\n <p class=\"subtitle\">When one still slips through, an independent verifier catches it and corrects it before it reaches your document.<\/p>\n\n         <ul class=\"hero-models-bar\" aria-label=\"Frontier AI models included\">\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\">Start the 7-Day Free Trial<\/a>\n         <\/div>\n             <p style=\"font-size: 13.5px; color: #9ca3af;\">No credit card. All five frontier models. About twenty seconds.<\/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     <!-- Collapsed state: the answer, in one glance -->\n     <div class=\"sm-saiw__head\">\n       <span class=\"sm-saiw__eyebrow\">\n         <span class=\"sm-saiw__livedot\" aria-hidden=\"true\"><\/span>\n         Currently the lowest-hallucination AI\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\">by <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%<\/p>\n         <p class=\"sm-saiw__score-l\"><span data-saiw=\"champion-scorelabel\">AA-Omniscience hallucination rate<\/span><br><span class=\"sm-saiw__score-src\" data-saiw=\"champion-scoresource\">Suprmind hallucination hub<\/span><\/p>\n       <\/div>\n     <\/div>\n\n     <!-- Why a year-old model posts 0% next to newer models at 35-55% on the same benchmark.\n          Without this line the flagship number reads like a typo on a page about fabrication. -->\n     <p class=\"sm-saiw__explainer\">\n       <strong>Why 0%:<\/strong> AA-Omniscience counts wrong answers among the answers a model actually attempts. Claude Opus 4.1 scores 0% because it abstains rather than guesses &#8211; the safest possible behaviour, and not what you hired an AI to do.\n     <\/p>\n\n     <!-- Signature element: the reign meter. The title has a shelf life and this bar shows it. -->\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=\"Average reign ends here\"><\/span>\n       <\/div>\n       <p class=\"sm-saiw__reign-line\">\n         Holding the lowest-hallucination title for <strong data-saiw=\"reign-days\">5+ months<\/strong>.\n         The average challenger holds just <span data-saiw=\"reign-avg\">3-5 weeks<\/span> &#8211; Claude has not let go since February.\n       <\/p>\n     <\/div>\n\n     <!-- Always-visible benchmark table: audience expects the data up front, no click required. -->\n     <!-- Peek effect: the list is clipped + faded so a row is cut off near the toggle, signalling \"there's more below\". -->\n     <div class=\"sm-saiw__sect sm-saiw__sect--always\" data-saiw=\"always\">\n       <p class=\"sm-saiw__sect-label\">Lowest hallucination, by 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\">Even the champion doesn&#8217;t lead every benchmark. No model does. That gap is the whole story.<\/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\">Show latest statistics and models<\/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     <!-- Expanded state: the rest of the model card -->\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\">The five frontier models, ranked<\/p>\n           <ol class=\"sm-saiw__board\" data-saiw=\"leaderboard\"><\/ol>\n           <p class=\"sm-saiw__finenote\">All five run on Suprmind, in the same conversation. Scores are HalluHard hallucination rate in realistic chat &#8211; lower is better. Perplexity Sonar is search-grounded and not scored on HalluHard &#8211; it leads citation accuracy instead (CJR study).<\/p>\n         <\/div>\n\n         <div class=\"sm-saiw__sect\">\n           <p class=\"sm-saiw__sect-label\">Recent title holders<\/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\">How we pick the winner<\/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=\"\/hub\/pricing\/\"><\/a>\n           <\/div>\n         <\/div>\n\n       <\/div>\n     <\/div>\n   <\/div>\n <\/div>\n\n <style>\n \/* \u2500\u2500 Scoped to #sm-saiw. 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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 ? 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\"no\" : \"yes\",\n         days_held: daysHeld\n       });\n       hasExpanded = true;\n     }\n   });\n\n })();\n <\/script>\n     <\/div>\n <\/div>\n \n\n\n <!-- SECTION: THE STAKES -->\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\">The Real Risk<\/div>\n             <h2>One AI can be confidently wrong. <br>You will never hear it happen.<\/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             A single model invents a statistic, a citation, a precedent, a clause reading. The answer looks clean. There is no second voice in the room to say otherwise, so it goes straight into your memo, your filing, your board deck. By the time anyone finds it, the decision is already made.\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             The rate sits around 5 to 10% on hard questions, higher on anything that needs a source or a real-world fact. And these models are trained on human approval, so they sound most certain exactly when they have the least to stand on.<\/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;\">The Multi-AI Workflow That Catches Errors Single AI Misses<\/h3>\n     <p class=\"sm-evidence__subtitle\">\n       A user uploaded two books and asked Grok to find a specific passage. What happened next is why single-AI workflows are dangerous.\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\">The Test<\/p>\n         <\/div>\n         <p class=\"sm-evidence__content\">\n           The user gave Grok a verifiable task: find a sentence in an uploaded novel and continue the paragraph after it.\n         <\/p>\n         <p class=\"sm-evidence__detail sm-evidence__detail--test\">\n           &ldquo;\u2026it was clear that they were not being moved on for strategic reasons &#8211; but&rdquo;\n         <\/p>\n         <p class=\"sm-evidence__detail-caption\">Continue from here. The paragraph should pop up.<\/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\">Fabricated<\/span>\n         <\/div>\n         <p class=\"sm-evidence__content\">\n           Grok produced a fluent, confident paragraph of Warhammer prose. It referenced characters, locations, and themes from the books. It read like a direct quote.\n         <\/p>\n         <p class=\"sm-evidence__detail sm-evidence__detail--fabricated\">\n           It wasn&#8217;t in the book. Grok wrote it and presented it as retrieved text.\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\">Caught<\/span>\n         <\/div>\n         <p class=\"sm-evidence__content\">\n           Claude ran 8 verification searches. Zero results. Then identified four tells proving fabrication: referencing the conversation&#8217;s own framework, generic phrasing, no page reference, and blended quote\/interpretation.\n         <\/p>\n         <p class=\"sm-evidence__detail sm-evidence__detail--caught\">\n           Verdict: &ldquo;Silent confabulation dressed up as sourced data.&rdquo;\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     See the full conversation\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=\"Close\">&times;<\/button>\n   <img decoding=\"async\" class=\"sm-lightbox__img\" src=\"\" alt=\"The full Grok conversation: Grok fabricates a Warhammer passage, Claude catches it.\" \/>\n <\/div>\n     <div class=\"sm-evidence__caption\">\n       <p class=\"sm-evidence__caption-line1\">\n         This is a real conversation from a real Suprmind session. Not a demo. Not a hypothetical. One AI fabricated. Another caught it. In the same thread, in front of the user.\n       <\/p>\n       <p class=\"sm-evidence__caption-line2\">\n         With a single AI, you&#8217;d have a confident lie and no reason to question it.\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;\">See Why It&#8217;s Hard For AI Models <br>To Hallucinate On Our Platform<\/h2>\n\n <p style=\"text-align:center; font-size: 17px;\">The interactive 90-second demo runs right here on the page &#8211; scroll down to pause, scroll back up to resume. Hit the orange stop button to end it and explore everything that happened across chat, Scribe, Adjutant, and Master Document.<\/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\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n <!-- SECTION: WHY A PLATFORM, NOT A MODEL (benchmark table) -->\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\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\">The Model Problem<\/div>\n             <h2>Every benchmark crowns a different winner. <br>None of them stays on top for long.<\/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             People come looking for the one safe model. The trouble is that the safest model this month is not the safest next month. The title trades between Claude, GPT, Gemini and Grok with almost every release, and which one leads depends entirely on which test you read. Vectara measures faithfulness to a source. AA-Omniscience measures whether a model knows what it does not know. FACTS, HalluHard and CJR each measure something else again. Five tests, five leaderboards.\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             Scan any column below and watch the leader change.\n         <\/p>\n\n         <!-- \u2550\u2550\u2550 EMBED: cross-benchmark mega table \u2550\u2550\u2550\n              Single source: assets\/components\/hallu-mega-table.html (rendered by [sm_hallu_mega]).\n              The .shm-clamp wrapper triggers the collapse + expand behavior shipped inside the component. -->\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;\">Lowest Hallucination Rate by Benchmark, September 2026<\/h2>\n                 <p style=\"font-size: 16px; line-height: 1.6; color: rgba(255,255,255,0.65); margin: 0;\">The proof, model by model &#8211; every benchmark crowns a different winner. The same cross-benchmark reference we maintain on our <a href=\"\/hub\/ai-hallucination-rates-and-benchmarks\/\" style=\"color: #c4b5fd; text-decoration: underline;\">hallucination research page<\/a> &#8211; every frontier model across every major benchmark, refreshed monthly. Scan any column and watch the leader change.<\/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  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: August 27, 2026\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-5.6 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\">59.4%<\/td>\n                        <td class=\"cell-red\">92.2%<\/td>\n                        <td class=\"cell-yellow\">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<\/td>\n                        <td>OpenAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">51.8%<\/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                    <\/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\">57%<\/td>\n                        <td class=\"cell-red\">86%<\/td>\n                        <td class=\"cell-yellow\">20<\/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\">43.8%<\/td>\n                        <td class=\"cell-red\">~78%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">61.8<\/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-yellow\">&gt;10%<\/td>\n                        <td class=\"cell-yellow\">40.7%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/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-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">37.6%<\/td>\n                        <td class=\"cell-red\">81%<\/td>\n                        <td class=\"cell-green\">Positive<\/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-green\">4.8%<\/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\">52.0<\/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-muted\">&ndash;<\/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-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">11.8%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green cell-bold\">0%<\/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\">46.6%<\/td>\n                        <td class=\"cell-yellow\">35.9%<\/td>\n                        <td class=\"cell-green\">27<\/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-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">36%<\/td>\n                        <td class=\"cell-green\">26<\/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\">46.4%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">14<\/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-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">45.7%<\/td>\n                        <td class=\"cell-red\">58%<\/td>\n                        <td class=\"cell-red\">Negative<\/td>\n                        <td class=\"cell-yellow\">51.3<\/td>\n                        <td class=\"cell-green cell-bold\">30%<\/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\">40.0%<\/td>\n                        <td class=\"cell-yellow\">~38%<\/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 Sonnet 4.5<\/td>\n                        <td>Anthropic<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">12.0%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">48%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/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-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">9.8%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">25%<\/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>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\">55.3%<\/td>\n                        <td class=\"cell-red\">50%<\/td>\n                        <td class=\"cell-green\">33<\/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<\/td>\n                        <td>Google<\/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\">61%<\/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>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\">55.9%<\/td>\n                        <td class=\"cell-red\">88%<\/td>\n                        <td class=\"cell-green\">16<\/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-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">54.0%<\/td>\n                        <td class=\"cell-red\">91%<\/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>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-green\">3.3%<\/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 4.6 (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<\/td>\n                        <td>xAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">52%<\/td>\n                        <td class=\"cell-red\">54%<\/td>\n                        <td class=\"cell-green\">26<\/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-yellow\">35%<\/td>\n                        <td class=\"cell-yellow\">25%<\/td>\n                        <td class=\"cell-green\">18.3<\/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 (medium)<\/td>\n                        <td>xAI<\/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\">16%<\/td>\n                        <td class=\"cell-green\">~17<\/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-muted\">&ndash;<\/td>\n                        <td class=\"cell-green\">17%<\/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 4.1 Fast<\/td>\n                        <td>xAI<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-red\">20.2%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-red\">72%<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-red\">36.0<\/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\">41.4%<\/td>\n                        <td class=\"cell-red\">64%<\/td>\n                        <td class=\"cell-green\">Positive<\/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\">94.1%<\/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-muted\">&ndash;<\/td>\n                        <td class=\"cell-red\">94%<\/td>\n                        <td class=\"cell-red\">-23<\/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<\/td>\n                        <td>DeepSeek<\/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\">96%<\/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-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-muted\">&ndash;<\/td>\n                        <td class=\"cell-red\">83%<\/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>Kimi K3<\/td>\n                        <td>Moonshot<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">46%<\/td>\n                        <td class=\"cell-red\">51%<\/td>\n                        <td class=\"cell-green\">18<\/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 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\">30%<\/td>\n                        <td class=\"cell-green\">23%<\/td>\n                        <td class=\"cell-green\">14<\/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<\/td>\n                        <td>Meta<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-muted\">&ndash;<\/td>\n                        <td class=\"cell-yellow\">41%<\/td>\n                        <td class=\"cell-yellow\">38%<\/td>\n                        <td class=\"cell-green\">18<\/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-muted\">&ndash;<\/td>\n                        <td class=\"cell-red\">87.6%<\/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-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 May 11, 2026, re-checked August 27, 2026 - no 2026 flagship has been added to Vectara's board since May) <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 snapshot <sup><a href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/#ref-3\">[3]<\/a><\/sup>, HalluHard Benchmark (2025) <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>. AA-Omniscience rows for Claude Fable 5, Claude Opus 5, Claude Sonnet 5, GPT-5.6 Sol \/ Terra \/ Luna, Gemini 3.7 Flash, Grok 4.6, Muse Spark 1.2, GLM-5.3, Qwen3.8 Max Preview and DeepSeek V4 Pro 0813 are the August 26-27, 2026 snapshot of the AA-synced board (167 models). Artificial Analysis's own page confirms Fable 5 at Index 43 \/ 65% accuracy and Opus 5 at 37 \/ 61%. Every August row was checked for internal consistency (Index equals correct minus incorrect). Rows that pre-date August keep the launch figures first cited. On the August re-pull Gemini 3.1 Pro reads 54.9% \/ 50.9% \/ 31.9, Claude Opus 4.8 48.8% \/ 39.3% \/ 28.8, Grok 4.5 51.6% \/ 54.1% \/ 25.3 and Kimi K3 47.6% \/ 53.2% \/ 19.7, within a few points and in the same rank order. Muse Spark 1.1 is shown in its July configuration. The board also lists a reasoning configuration at 52.1% \/ 50.0% \/ 28.1, which is the fair comparison for the 1.2 (xhigh) row. Claude 4.1 Opus's 0% is the November 2025 launch snapshot, achieved by refusing uncertain questions. Grok 4.3 has a standalone AA profile in two configurations - high (35% accuracy \/ 25% hallucination \/ Index 18.3) and medium (16% hallucination, a lower-attempt build). DeepSeek V4 Pro is shown twice because the April preview and the August 13 GA build are different checkpoints. Dashes indicate no published data on that benchmark 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             Re-picking a model every few weeks is not a strategy. The durable answer is to stop betting on one. Run the question through all five at once and let their different training, different sources and different blind spots cancel each other out. Inside Suprmind, these benchmark scores decide which model fills which seat. That is a platform you run, not a model you gamble on.\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;\">What we treat external benchmarks as:<\/strong> inputs to model selection inside Suprmind, not proof that any single model is infallible. The full benchmark methodology and 2026 leaderboard breakdowns live in our <a href=\"\/hub\/ai-hallucination-rates-and-benchmarks\/\" style=\"color: #c4b5fd; text-decoration: underline;\">AI hallucination research and benchmarks<\/a> page.\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     <!-- CTA A - AFTER THE MEGA TABLE -->\n     <div class=\"sg-cta\" data-cta-position=\"post-benchmark-table\" data-cta-provider=\"hallu-lp\">\n         <h2>You read the table. No model wins every column. <br>Stop betting on one row.<\/h2>\n         <p class=\"sg-cta__sub\">Ask your next hard question in one thread where Grok, GPT, Claude and Gemini read each other&#8217;s answers and flag what does not hold. The lowest-hallucination setup is not a model. It is a platform.<\/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\">Start the Free Trial<\/a>\n         <p class=\"sg-cta__fine\">7 days free. No credit card. Name, email, password &#8211; about twenty seconds.<\/p>\n     <\/div>\n\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n <!-- SECTION: THE AI ANTI-HALLUCINOGEN (the two-layer system) -->\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\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\">The Anti-Hallucinogen<\/div>\n       <h2>The Suprmind AI Anti-Hallucinogen<\/h2>\n       <p style=\"font-size: 19px; line-height: 1.7; color: #9ca3af; max-width: 820px; margin: 16px auto 56px;\">\n         A dual-layer hallucination mitigation system. One layer is the five models catching each other. The other is an independent verifier catching what they miss. Both run on every question.\n       <\/p>\n     <\/div>\n\n     <!-- Layer 1 -->\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;\">Layer 1 &#8211; The models correct each other<\/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         Five frontier models share one thread. Each one reads every answer before it. When GPT states a figure Claude knows is wrong, Claude corrects it in the same turn and rebuilds the conclusion from the right number. When Perplexity&#8217;s sourced research contradicts Grok&#8217;s real-time read, that clash lands in front of you instead of hiding in a tab you never opened.\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         This is correction, not a flag to chase down later. The bad claim gets challenged and replaced while you watch it happen.\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 cross-model corrections<\/strong> across 1,324 production turns. 99.1% of multi-AI turns surfaced at least one contradiction, correction, or insight a single model missed.<\/p>\n       <\/div>\n     <\/div>\n\n     <!-- Layer 2 -->\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;\">Layer 2 &#8211; True North, the independent verifier<\/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         Some errors survive layer one. A confident first answer anchors the four that follow. Several models lean on the same stale source. Sometimes nobody catches it. True North is built for exactly those cases, and it does not wait to be asked.\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         As each model works, True North checks every claim that carries risk in real time &#8211; numbers, dates, named entities, citations, legal and financial statements &#8211; against live sources on the web and the documents in your project. It runs outside the five models, so nothing is grading its own homework.\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;\">ANALYZE<\/p>\n           <p style=\"font-size: 14px; line-height: 1.5; color: #9ca3af; margin: 0;\">Selects the claims worth checking<\/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;\">RESEARCH<\/p>\n           <p style=\"font-size: 14px; line-height: 1.5; color: #9ca3af; margin: 0;\">Gathers live external evidence<\/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;\">JUDGE<\/p>\n           <p style=\"font-size: 14px; line-height: 1.5; color: #9ca3af; margin: 0;\">Rules supported, contradicted, or unverifiable<\/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         When True North catches a fabrication, it does not just flag it. It injects the correction into the next model in the thread, so the false claim gets overwritten before it spreads. A single hallucination, left alone, tends to poison everything downstream, because the models trust each other too readily to re-check what came before. True North cuts that chain the moment it starts.\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;\">Five AIs keep each other honest. <br>Evidence keeps all five honest.<\/p>\n     <\/div>\n   <\/div>\n <\/section>\n\n\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n <!-- SECTION: RESEARCH-BACKED -->\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\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;\">The Research<\/div>\n     <h2 style=\"text-align: center; max-width: 900px; margin: 0 auto 24px;\">\n         We measured multi-AI decision making in 1,324 real production turns.<br>\n         Here&#8217;s what it actually delivers.\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         Not a lab benchmark. 45 days of real production decisions across finance, legal, medical, strategy, and technical work &#8211; scored for contradictions, corrections, and unique insights across Claude, GPT, Gemini, Grok, and Perplexity.\n     <\/p>\n\n     <!-- 4 RESEARCH STAT BOXES -->\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;\">Catch Asymmetry<\/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 catches 9.77\u00d7 more errors than <a href=\"https:\/\/suprmind.ai\/hub\/gemini\/pricing\/\" title=\"Gemini Pricing 2026: Free, AI Plus, AI Pro, AI Ultra, and API Costs\"  data-wpil-monitor-id=\"2524\">Gemini<\/a>. One model&#8217;s weakness is another&#8217;s sonar.<\/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;\">Never Silent<\/div>\n <div style=\"font-size: 48px; font-weight: 700; line-height: 1.1; margin-bottom: 12px;\">99.1%<\/div>\n <div style=\"font-size: 16px; line-height: 1.5; color: #e5e7eb;\">Of multi-AI turns surfaced at least one contradiction, correction, or unique insight.<\/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 Lift<\/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;\">Average unique insights added per turn by the ensemble beyond any single model.<\/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;\">Caught in the Act<\/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;\">Cross-model corrections &#8211; errors one AI made that another caught before it shipped.<\/div>\n <\/div>\n     <\/div>\n\n     <!-- DATA-BACKED COMPARISON TABLE -->\n     <h3 style=\"text-align: center; font-size: 24px; font-weight: 600; margin: 80px 0 32px;\">\n         What actually happens in a decision conversation\n     <\/h3>\n     <div class=\"comparison-table\" style=\"max-width: 960px; margin: 0 auto;\">\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Metric<\/div>\n             <div class=\"comparison-value\">Single LLM Chat<\/div>\n             <div class=\"comparison-value\">Suprmind (measured)<\/div>\n         <\/div>\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Perspectives per question<\/div>\n             <div class=\"comparison-value\">1<\/div>\n             <div class=\"comparison-value\"><strong>5, each reading the others<\/strong><\/div>\n         <\/div>\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Unique insights per conversation<\/div>\n             <div class=\"comparison-value\">1 set<\/div>\n             <div class=\"comparison-value\"><strong>+2.6 additional caught by one of five<\/strong><\/div>\n         <\/div>\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Cross-model corrections<\/div>\n             <div class=\"comparison-value\">0 (impossible)<\/div>\n             <div class=\"comparison-value\"><strong>1,401 across the study<\/strong><\/div>\n         <\/div>\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Contradictions surfaced<\/div>\n             <div class=\"comparison-value\">0 (one voice)<\/div>\n             <div class=\"comparison-value\"><strong>54% of turns<\/strong><\/div>\n         <\/div>\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Conversations with added signal<\/div>\n             <div class=\"comparison-value\">Unknown<\/div>\n             <div class=\"comparison-value\"><strong>99.1%<\/strong><\/div>\n         <\/div>\n         <div class=\"comparison-row\">\n             <div class=\"comparison-feature\">Signal-free &#8220;silent&#8221; conversations<\/div>\n             <div class=\"comparison-value\">Unknown<\/div>\n             <div class=\"comparison-value\"><strong>0.9%<\/strong><\/div>\n         <\/div>\n     <\/div>\n\n     <!-- RESEARCH CTA -->\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       <!-- Left: manifesto -->\n       <aside class=\"sm-datalab__aside\">\n         <p class=\"sm-datalab__eyebrow\">Suprmind Data Lab<\/p>\n         <h2 class=\"sm-datalab__headline\">We quote benchmarks. And we run them.<\/h2>\n         <p class=\"sm-datalab__manifesto\">\n           Everyone in this category cites third-party studies. Suprmind is the only multi-AI platform publishing original production research on a quarterly cadence &#8211; full methodology, downloadable datasets, open license. Most of what the industry says about how frontier models compare comes from labs. We measure it in real work.\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\">Sources tracked<\/p>\n           <\/div>\n           <div>\n             <p class=\"sm-datalab__pillar-v\">1,324<\/p>\n             <p class=\"sm-datalab__pillar-l\">Production turns analyzed<\/p>\n           <\/div>\n           <div>\n             <p class=\"sm-datalab__pillar-v\">Monthly<\/p>\n             <p class=\"sm-datalab__pillar-l\">Hallucination benchmark refresh<\/p>\n           <\/div>\n           <div>\n             <p class=\"sm-datalab__pillar-v\">Quarterly<\/p>\n             <p class=\"sm-datalab__pillar-l\">Original research cadence<\/p>\n           <\/div>\n         <\/div>\n       <\/aside>\n\n       <!-- Right: research index -->\n       <div class=\"sm-datalab__entries\">\n         <!-- 001 - Multi-Model AI Divergence Index -->\n         <a\n           class=\"sm-datalab__card\"\n           href=\"https:\/\/suprmind.ai\/hub\/multi-model-ai-divergence-index\/\"\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\">ORIGINAL RESEARCH<\/p>\n             <h3 class=\"sm-datalab__title\">Multi-Model AI Divergence Index<\/h3>\n             <p class=\"sm-datalab__edition\">April 2026 Edition &#8211; The Confidence Trap<\/p>\n             <p class=\"sm-datalab__blurb\">\n               Suprmind&#8217;s own production data. 1,324 multi-AI turns across 299 users, scored for contradiction, correction, and unique insight per provider. The first systematic measurement of where five frontier AIs disagree, who catches whom, and how often confident answers don&#8217;t survive peer review.\n             <\/p>\n             <div class=\"sm-datalab__stats\" style=\"grid-template-columns: repeat(3, minmax(0, 1fr));\">\n               <div>\n                 <p class=\"sm-datalab__stat-v\">9.77\u00d7<\/p>\n                 <p class=\"sm-datalab__stat-l\">Perplexity vs Gemini catch ratio<\/p>\n               <\/div>\n               <div>\n                 <p class=\"sm-datalab__stat-v\">51.3%<\/p>\n                 <p class=\"sm-datalab__stat-l\">Of Gemini&#8217;s confident answers contradicted<\/p>\n               <\/div>\n               <div>\n                 <p class=\"sm-datalab__stat-v\">72.1%<\/p>\n                 <p class=\"sm-datalab__stat-l\">Disagreement on financial questions<\/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\">Published:<\/span> <span class=\"sm-datalab__meta-v\">April 2026<\/span><\/span>\n                 <span><span class=\"sm-datalab__meta-k\">Sample:<\/span> <span class=\"sm-datalab__meta-v\">1,324 production turns<\/span><\/span>\n                 <span><span class=\"sm-datalab__meta-k\">Cadence:<\/span> <span class=\"sm-datalab__meta-v\">Quarterly<\/span><\/span>\n                 <span><span class=\"sm-datalab__meta-k\">Next edition:<\/span> <span class=\"sm-datalab__meta-v\">October 2026<\/span><\/span>\n                 <span><span class=\"sm-datalab__meta-k\">License:<\/span> <span class=\"sm-datalab__meta-v\">CC BY 4.0 &#8211; 12 CSVs<\/span><\/span>\n               <\/div>\n               <div class=\"sm-datalab__cta\">\n                 <span class=\"sm-datalab__cta-link\">Read the research <span aria-hidden=\"true\">\u2197<\/span><\/span>\n               <\/div>\n             <\/div>\n           <\/div>\n         <\/a>\n\n         <!-- 002 - AI Hallucination Rates & Benchmarks -->\n         <a\n           class=\"sm-datalab__card\"\n           href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/\"\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\">AI Hallucination Rates &amp; Benchmarks<\/h3>\n             <p class=\"sm-datalab__edition\">September 2026 Edition &#8211; updated monthly<\/p>\n             <p class=\"sm-datalab__blurb\">\n               A continuously updated aggregator of every major AI hallucination benchmark &#8211; Vectara, AA-Omniscience, FACTS, HalluHard, CJR Citation &#8211; cross-referenced and enriched with Suprmind&#8217;s production findings. The most-cited single page on hallucination rates anywhere.\n             <\/p>\n             <div class=\"sm-datalab__stats\" style=\"grid-template-columns: repeat(3, minmax(0, 1fr));\">\n               <div>\n                 <p class=\"sm-datalab__stat-v\">$4.4M<\/p>\n                 <p class=\"sm-datalab__stat-l\">Average loss per organization from AI-related incidents (EY, Oct 2025)<\/p>\n               <\/div>\n               <div>\n                 <p class=\"sm-datalab__stat-v\">88%<\/p>\n                 <p class=\"sm-datalab__stat-l\">Gemini 3 Pro hallucination when uncertain<\/p>\n               <\/div>\n               <div>\n                 <p class=\"sm-datalab__stat-v\">73-86%<\/p>\n                 <p class=\"sm-datalab__stat-l\">Hallucination reduction with web search enabled<\/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\">Updated:<\/span> <span class=\"sm-datalab__meta-v\">Monthly<\/span><\/span>\n                 <span><span class=\"sm-datalab__meta-k\">Last revision:<\/span> <span class=\"sm-datalab__meta-v\">September 2026<\/span><\/span>\n                 <span><span class=\"sm-datalab__meta-k\">Sources:<\/span> <span class=\"sm-datalab__meta-v\">50+ peer-reviewed<\/span><\/span>\n                 <span><span class=\"sm-datalab__meta-k\">Coverage:<\/span> <span class=\"sm-datalab__meta-v\">GPT-5.6 Sol, Claude Fable 5, Gemini 3.1 Pro, Grok 4.3<\/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\">Read the research <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\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n <!-- SECTION: THE AGREEMENT BIAS PROBLEM -->\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\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\">The Agreement Problem<\/div>\n             <h2>Your AI is trained to make you happy. <br>Not to tell you you&#8217;re wrong.<\/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             AI models learn from human feedback. Helpful, agreeable responses get rewarded. Pushback gets penalized. The result: when you ask a single AI whether your investment thesis holds up, whether your contract clause protects you, whether your strategy makes sense &#8211; it tends to find reasons you&#8217;re right. It smooths over the parts that should make you pause.\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             A multi-AI platform built around disagreement works differently. When GPT agrees with your framing but Claude flags the assumption underneath, you see both. When Perplexity&#8217;s sourced research contradicts Grok&#8217;s real-time read, that contradiction surfaces in the thread. Agreement becomes a signal, not a default. Disagreement becomes the most useful output a decision-maker can get.\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                 Traditional LLM chats smooth over conflict. <br>Suprmind highlights it.\n             <\/p>\n             <p style=\"font-size: 17px; line-height: 1.6; color: #9ca3af; margin: 16px 0 0 0;\">\n                 When the world&#8217;s smartest AIs disagree, that disagreement is telling you where your problem actually lives.\n             <\/p>\n         <\/div>\n     <\/div>\n <\/section>\n\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n <!-- SECTION: AGGREGATOR VS ORCHESTRATOR (COMPARISON TABLE) -->\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n\n <section style=\"padding: 100px 48px;\">\n     <div class=\"comparison-container\">\n         <div style=\"text-align: left;\">\n             <div class=\"section-label\">The &#8220;Multi-AI&#8221; Problem<\/div>\n             <h2>Most &#8220;multi-AI platforms&#8221; are five logins. <br>Not five models thinking together.<\/h2>\n         <\/div>\n\n         <p class=\"section-subtitle\" style=\"margin-top: 32px;\">\n             The category is crowded with tools that call themselves multi-AI platforms. Poe. ChatHub. OpenRouter. TypingMind. They solve one legitimate problem: one subscription instead of four. You pick a model from a dropdown, send your prompt, read the answer, switch models, start over.\n         <\/p>\n\n         <p class=\"section-subtitle\">\n             That&#8217;s access, not orchestration. You still talk to one model at a time. You still reconcile contradictions manually. You still lose context every time you switch tabs. At the end, you have four isolated answers and no way to know which one missed the thing that mattered.\n         <\/p>\n\n         <div class=\"comparison-table\">\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Capability<\/div>\n                 <div class=\"comparison-value\">Typical Multi-AI Platform<\/div>\n                 <div class=\"comparison-value\">Suprmind<\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Model access<\/div>\n                 <div class=\"comparison-value\">Multiple models in a dropdown<\/div>\n                 <div class=\"comparison-value\"><strong>Multiple models in the same conversation<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Context sharing<\/div>\n                 <div class=\"comparison-value\">Each chat starts from zero<\/div>\n                 <div class=\"comparison-value\"><strong>Full shared thread across all AIs<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">How models interact<\/div>\n                 <div class=\"comparison-value\">They don&#8217;t &#8211; you run parallel prompts<\/div>\n                 <div class=\"comparison-value\"><strong>Each AI reads every previous response<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Disagreement<\/div>\n                 <div class=\"comparison-value\">Hidden across separate tabs<\/div>\n                 <div class=\"comparison-value\"><strong>Surfaced, tracked, indexed<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Hallucination catching<\/div>\n                 <div class=\"comparison-value\">No cross-checking<\/div>\n                 <div class=\"comparison-value\"><strong>Two layers &#8211; the next AI corrects the last one, and an independent verifier checks what none of them questioned<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Synthesis<\/div>\n                 <div class=\"comparison-value\">You reconcile manually<\/div>\n                 <div class=\"comparison-value\"><strong>Automatic with conflict highlighting<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Output<\/div>\n                 <div class=\"comparison-value\">Five chat transcripts<\/div>\n                 <div class=\"comparison-value\"><strong>One professional document, 25+ templates<\/strong><\/div>\n             <\/div>\n             <div class=\"comparison-row\">\n                 <div class=\"comparison-feature\">Orchestration modes<\/div>\n                 <div class=\"comparison-value\">None &#8211; chat only<\/div>\n                 <div class=\"comparison-value\"><strong>Six modes for different decision types<\/strong><\/div>\n             <\/div>\n         <\/div>\n     <\/div>\n <\/section>\n\n     <!-- CTA B - AFTER THE COMPARISON TABLE -->\n     <div class=\"sg-cta\" data-cta-position=\"post-comparison\" data-cta-provider=\"hallu-lp\">\n         <h2>A dropdown can&#8217;t catch a hallucination. <br>A shared thread can.<\/h2>\n         <p class=\"sg-cta__sub\">That is the difference the table above shows. Five frontier models answer in the same conversation and read each other &#8211; when one invents a fact, the next one flags it before it reaches your decision.<\/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\">Start a Shared Thread Free<\/a>\n         <p class=\"sg-cta__fine\">7 days free. No credit card. Grok, GPT, Claude and Gemini in the trial &#8211; Perplexity joins on Pro.<\/p>\n     <\/div>\n\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n <!-- SECTION: HOW IT WORKS - TWO WAYS FIVE AIS THINK TOGETHER -->\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n\n <section style=\"padding: 100px 48px;\">\n     <div style=\"max-width: 1200px; margin: 0 auto; text-align: center;\">\n         <div class=\"section-label\">How It Works<\/div>\n         <h2>Two ways five LLMs <br>can think together.<\/h2>\n         <p style=\"font-size: 19px; color: #9ca3af; max-width: 800px; margin: 24px auto 60px;\">\n             Not all questions need the same structure. Suprmind runs models both in parallel (fast multi-perspective reads) and in sequence (deep iterative analysis) &#8211; inside the same platform, in the same thread.\n         <\/p>\n\n         <!-- Two modes side by side -->\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 mode<\/p>\n                 <p style=\"font-size: 17px; line-height: 1.7; margin: 0;\">\n                     All five AIs respond simultaneously. A synthesis engine reads every response and produces one unified answer with consensus mapping and divergence flags.<\/p> \n <p style=\"font-size: 17px; line-height: 1.7; margin: 0; padding-bottom: 33px; padding-top: 23px;\">\n Use it when you need a fast cross-model check &#8211; fact verification, decision sanity-checks, compressed research.\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;\">Default and deeper modes<\/p>\n                 <p style=\"font-size: 17px; line-height: 1.7; margin: 0;\">\n                     Each AI reads every response before it, then adds to the thread. Grok surfaces context. Perplexity grounds it in sourced research. Claude pressure-tests the reasoning. GPT structures the argument. Gemini synthesizes the full chain. Each response is shaped by the one before it, which is why sequential orchestration produces compounding intelligence &#8211; not five copies of the same answer.\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                 Start in Sequential to build the case. <br>\n                 Switch to Super Mind for a fast consensus read. <br>\n                 Pivot to Debate to stress-test it. Red Team it before you commit. <br>\n                 <span style=\"color: rgba(255,255,255,0.6);\">The context persists across every mode switch. The models don&#8217;t forget.<\/span>\n             <\/p>\n         <\/div>\n     <\/div>\n <\/section>\n\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n <!-- SECTION: USE CASES -->\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\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\">Use Cases<\/p>\n       <h2 class=\"sm-usecases__header\">What It&#8217;s Built For<\/h2>\n       <p class=\"sm-usecases__sub\">Some of the use cases where multi-AI orchestration pays off.<\/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         Strategy Consultants\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         Founders &amp; Operators\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         AI Power Users\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         Investment Analysts\n       <\/button>\n     <\/div>\n\n     <!-- Panel 0 - Strategy Consultants \u2192 Master Document peek -->\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\">Strategy Consultants<\/p>\n         <h3 class=\"sm-usecases__title\">M&amp;A pre-mortem in 90 minutes<\/h3>\n         <p class=\"sm-usecases__body\">\n           Walk into the partner meeting with five frontier AIs already disagreeing on your behalf. Each fabrication caught before slides leave your laptop.\n         <\/p>\n         <button type=\"button\" class=\"sm-usecases__cta\">\n           See sample output\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 &#8211; preview<\/span>\n           <span class=\"sm-peek__sub\">v4 \u00b7 exported as PDF<\/span>\n         <\/div>\n         <h4 class=\"sm-peek__title\">Skybridge Acquisition &#8211; Recommendation Memo<\/h4>\n         <p class=\"sm-peek__meta\">Prepared by Suprmind \u00b7 Sequential mode \u00b7 5 models \u00b7 47 min<\/p>\n         <div class=\"sm-peek__verdict\">\n           <p class=\"sm-peek__verdict-label\">Verdict<\/p>\n           <p class=\"sm-peek__verdict-body\">Do not acquire at $42M. Revisit at $26M with NRR turnaround proof.<\/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\">Five-model consensus matrix<\/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\">Disagreements &amp; unresolved questions<\/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\">Risk register (red team output)<\/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\">Supporting evidence &#8211; citations<\/span><\/div>\n         <\/div>\n       <\/div>\n     <\/div>\n\n     <!-- Panel 1 - Founders & Operators \u2192 Debate peek -->\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\">Founders &amp; Operators<\/p>\n         <h3 class=\"sm-usecases__title\">Pricing experiment, defended<\/h3>\n         <p class=\"sm-usecases__body\">\n           Run a $79 vs $149 split through Debate mode. Watch Claude argue retention, Grok argue elasticity, Perplexity ground both in 2026 benchmarks.\n         <\/p>\n         <button type=\"button\" class=\"sm-usecases__cta\">\n           See sample output\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 transcript &#8211; preview<\/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 &#8211; $149<\/span>\n             <\/div>\n             <p class=\"sm-peek__debate-text\">Retention curve flattens past $99. The $50 of headroom buys you Frontier-buyer signaling.<\/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\">CON &#8211; $79<\/span>\n             <\/div>\n             <p class=\"sm-peek__debate-text\">Elasticity at this stage is brutal. You&#8217;ll lose 31% of conversions for ~22% revenue lift.<\/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\">CONTEXT<\/span>\n             <\/div>\n             <p class=\"sm-peek__debate-text\">2026 SaaS prosumer benchmarks: 38% of $99+ tools see &gt;40% trial-to-paid lift after price reduction.<\/p>\n           <\/div>\n         <\/div>\n       <\/div>\n     <\/div>\n\n     <!-- Panel 2 - AI Power Users \u2192 Consolidate peek -->\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\">AI Power Users<\/p>\n         <h3 class=\"sm-usecases__title\">Stop reconciling five tabs<\/h3>\n         <p class=\"sm-usecases__body\">\n           Cancel ChatGPT Pro, Claude Pro, Perplexity Pro, Gemini Advanced. One conversation. Five models. Shared context. $95\/mo all-in.\n         <\/p>\n         <button type=\"button\" class=\"sm-usecases__cta\">\n           See sample output\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\">Your current 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\/mo<\/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\/mo<\/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\/mo<\/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\/mo<\/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\/mo<\/span>\n           <\/div>\n         <\/div>\n         <div class=\"sm-peek__total\">\n           <span class=\"sm-peek__total-label\">Total \/ month<\/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\">All five models \u00b7 one thread \u00b7 shared context<\/p>\n           <\/div>\n           <p class=\"sm-peek__frontier-price\">$95<\/p>\n         <\/div>\n       <\/div>\n     <\/div>\n\n     <!-- Panel 3 - Investment Analysts \u2192 Research peek -->\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\">Investment Analysts<\/p>\n         <h3 class=\"sm-usecases__title\">IC memo, defensible by 4pm<\/h3>\n         <p class=\"sm-usecases__body\">\n           Five knowledge bases reference the same question. Build the strongest case for and against before capital gets committed.\n         <\/p>\n         <button type=\"button\" class=\"sm-usecases__cta\">\n           See sample output\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 &#8211; 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\">Retrieval<\/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 sources cited<\/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\">Analysis<\/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 themes extracted<\/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\">Fact-check<\/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 contradictions flagged<\/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\">Challenge<\/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 pass<\/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\">Synthesis<\/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 words<\/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\n <!-- DUPLICATE USE-CASE LIST REMOVED: six plain cards restating the ground already covered by the\n      tabbed component above, which carries the same personas plus sample outputs. Kept the tabs. -->\n     <\/div>\n <\/section>\n\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n <!-- SECTION: THE MECHANISM (INTELLIGENCE GRID) -->\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n\n <section id=\"intelligence\" style=\"padding: 120px 48px;\">\n     <div class=\"intelligence-grid\">\n         <div class=\"intelligence-content\">\n             <div class=\"section-label\">The Mechanism<\/div>\n             <h2>An AI Platform With the Lowest Hallucination Risk by Design<\/h2>\n             <p style=\"font-size: 18px; color: #9ca3af; margin-top: -8px;\">How a multi-model AI platform catches what one AI misses &#8211; and why the most accurate AI setup is a workflow, not a model.<\/p>\n             <p>\n                 When Claude runs next in a Suprmind thread, it isn&#8217;t reading your question in a vacuum. It&#8217;s reading your question plus everything Grok, Perplexity, and <a href=\"https:\/\/suprmind.ai\/hub\/chatgpt\/pricing\/\" title=\"ChatGPT Pricing 2026: What You Actually Get on Each Tier\"  data-wpil-monitor-id=\"2819\">GPT<\/a> wrote before it. If one of those models fabricated a source, Claude can verify. If one of them smoothed over a weak assumption, Claude can flag it. The shared thread is what makes cross-checking possible.\n             <\/p>\n             <p>\n                 Gemini closes the chain with synthesis. It sees every response and produces an output that&#8217;s structurally different from any single model&#8217;s answer. This is what &#8220;compounding intelligence&#8221; actually means &#8211; not five copies of the same response, but a response that evolved through five frontier models shaping each other.\n             <\/p>\n\n             <ul class=\"feature-list\">\n                 <li><span class=\"check\"><\/span>Five frontier models collaborating in one thread<\/li>\n                 <li><span class=\"check\"><\/span>Sequential and parallel orchestration in the same platform<\/li>\n                 <li><span class=\"check\"><\/span>Disagreements surfaced and tracked, not smoothed over<\/li>\n                 <li><span class=\"check\"><\/span>Hallucinations caught by the next AI in the chain<\/li>\n                 <li><span class=\"check\"><\/span>Six orchestration modes for different decision types<\/li>\n                 <li><span class=\"check\"><\/span>@mention targeting for specific model strengths<\/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\">Query Enters<\/span>\n                 <span class=\"process-time\">Your Question<\/span>\n                 <div class=\"process-desc\">You ask something that matters. Suprmind routes it through the mode you selected.<\/div>\n             <\/div>\n             <div class=\"process-step\">\n                 <span class=\"process-number\">2<\/span>\n                 <span class=\"process-name\">Context Builds<\/span>\n                 <span class=\"process-time\">Each AI Adds<\/span>\n                 <div class=\"process-desc\">Each model responds while reading everything before it. Ideas evolve. Mistakes get caught.<\/div>\n             <\/div>\n             <div class=\"process-step\">\n                 <span class=\"process-number\">3<\/span>\n                 <span class=\"process-name\">Conflicts Surface<\/span>\n                 <span class=\"process-time\">Disagreement Exposed<\/span>\n                 <div class=\"process-desc\">When AIs disagree, Suprmind highlights it. When one AI catches another hallucinating, that correction stays visible.<\/div>\n             <\/div>\n             <div class=\"process-step\">\n                 <span class=\"process-number\">4<\/span>\n                 <span class=\"process-name\">Synthesis Generated<\/span>\n                 <span class=\"process-time\">Unified Output<\/span>\n                 <div class=\"process-desc\">The full response chain plus a synthesized view of agreements, conflicts, and implications.<\/div>\n             <\/div>\n             <div class=\"process-step\">\n                 <span class=\"process-number\">5<\/span>\n                 <span class=\"process-name\">Conversation Continues<\/span>\n                 <span class=\"process-time\">Iterate or Pivot<\/span>\n                 <div class=\"process-desc\">Follow up. Switch modes. Dig into a disagreement. The context persists across every turn.<\/div>\n             <\/div>\n         <\/div>\n     <\/div>\n <\/section>\n\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n <!-- SECTION: MODES + OUTPUTS (DARK SECTION) -->\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\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);\">Orchestration Modes<\/div>\n         <h2 style=\"color: white; margin-bottom: 24px;\">Six ways five AIs can <br>work your question.<\/h2>\n\n         <p style=\"font-size: 18px; color: rgba(255,255,255,0.8); margin-bottom: 60px; max-width: 800px;\">\n             Different problems need different orchestration. Switch modes mid-conversation without losing context. This is what makes Suprmind a multi-LLM orchestration platform rather than a model switcher.\n         <\/p>\n\n \n     <!-- Shared arrow marker (referenced by all flow SVGs below) -->\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       <!-- Tab list -->\n       <div class=\"sm-modes__tablist\" role=\"tablist\" aria-label=\"Six Ways to Pressure-Test a Decision\">\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\">Default<\/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\">Fastest<\/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       <!-- Panels (only the active one is displayed) -->\n\n       <!-- 0 - Sequential (sequential flow) -->\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\">Default<\/span>\n           <\/div>\n         <\/div>\n         <p class=\"sm-modes__panel-oneliner\">AIs respond one after another. Each reads everything before it. The default and the deepest.<\/p>\n         <div class=\"sm-modes__panel-bestfor\">\n           <p class=\"sm-modes__panel-bestfor-label\">Best for:<\/p>\n           <p class=\"sm-modes__panel-bestfor-value\">Complex analysis, research, architecture decisions<\/p>\n         <\/div>\n         <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/modes\/sequential-mode\">Learn more <span aria-hidden=\"true\">\u2192<\/span><\/a>\n         <div class=\"sm-modes__flow\">\n           <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Sequential orchestration flow\">\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\">You<\/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\">Doc<\/text>\n           <\/svg>\n         <\/div>\n       <\/div>\n\n       <!-- 1 - Super Mind (parallel flow) -->\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\">Fastest<\/span>\n           <\/div>\n         <\/div>\n         <p class=\"sm-modes__panel-oneliner\">All five respond simultaneously. A sixth AI synthesizes one unified answer with consensus and divergence mapped.<\/p>\n         <div class=\"sm-modes__panel-bestfor\">\n           <p class=\"sm-modes__panel-bestfor-label\">Best for:<\/p>\n           <p class=\"sm-modes__panel-bestfor-value\">Quick decisions, fact verification, time-sensitive calls<\/p>\n         <\/div>\n         <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/modes\/super-mind\">Learn more <span aria-hidden=\"true\">\u2192<\/span><\/a>\n         <div class=\"sm-modes__flow\">\n           <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Super Mind orchestration flow\">\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\">You<\/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\">Doc<\/text>\n           <\/svg>\n         <\/div>\n       <\/div>\n\n       <!-- 2 - Debate (debate flow with \u00d73) -->\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\">AIs argue assigned positions in sequence. Rebuttals and counter-arguments. Minority views preserved.<\/p>\n         <div class=\"sm-modes__panel-bestfor\">\n           <p class=\"sm-modes__panel-bestfor-label\">Best for:<\/p>\n           <p class=\"sm-modes__panel-bestfor-value\">Strategy validation, thesis stress-testing<\/p>\n         <\/div>\n         <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/modes\/super-mind-debate-modes\">Learn more <span aria-hidden=\"true\">\u2192<\/span><\/a>\n         <div class=\"sm-modes__flow\">\n           <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Debate orchestration flow\">\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\">You<\/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\">Doc<\/text>\n           <\/svg>\n         <\/div>\n       <\/div>\n\n       <!-- 3 - Red Team (debate flow, no \u00d73) -->\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\">AIs attack your plan from six angles in sequence: financial, technical, reputational, regulatory, operational, edge cases.<\/p>\n         <div class=\"sm-modes__panel-bestfor\">\n           <p class=\"sm-modes__panel-bestfor-label\">Best for:<\/p>\n           <p class=\"sm-modes__panel-bestfor-value\">Pre-launch validation, risk assessment, investment pre-mortems<\/p>\n         <\/div>\n         <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/modes\/red-team-mode\">Learn more <span aria-hidden=\"true\">\u2192<\/span><\/a>\n         <div class=\"sm-modes__flow\">\n           <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Red Team orchestration flow\">\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\">You<\/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\">Doc<\/text>\n           <\/svg>\n         <\/div>\n       <\/div>\n\n       <!-- 4 - Research Symphony (parallel flow) -->\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\">Automated research pipeline that retrieves sources, analyses, fact-checks, challenges, and synthesises. Produces 10,000+ word reports with citations.<\/p>\n         <div class=\"sm-modes__panel-bestfor\">\n           <p class=\"sm-modes__panel-bestfor-label\">Best for:<\/p>\n           <p class=\"sm-modes__panel-bestfor-value\">Deep research, comprehensive reports<\/p>\n         <\/div>\n         <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/modes\/research-symphony\">Learn more <span aria-hidden=\"true\">\u2192<\/span><\/a>\n         <div class=\"sm-modes__flow\">\n           <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Research Symphony orchestration flow\">\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\">You<\/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\">Doc<\/text>\n           <\/svg>\n         <\/div>\n       <\/div>\n\n       <!-- 5 - First Principles (sequential flow) -->\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\">Strips a question to its fundamentals. Each model names its assumptions, identifies the underlying axioms, then rebuilds the analysis from the ground up.<\/p>\n         <div class=\"sm-modes__panel-bestfor\">\n           <p class=\"sm-modes__panel-bestfor-label\">Best for:<\/p>\n           <p class=\"sm-modes__panel-bestfor-value\">Highest-stakes decisions where convention is suspect<\/p>\n         <\/div>\n         <div class=\"sm-modes__flow\">\n           <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"First Principles orchestration flow\">\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\">You<\/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\">Doc<\/text>\n           <\/svg>\n         <\/div>\n       <\/div>\n     <\/div>\n\n     <p class=\"sm-modes__footnote\">\n       Sequential, Debate, Red Team, and First Principles all use sequential orchestration &#8211; each AI builds on what came before. Super Mind mode runs in parallel with a synthesis layer. Chain any combination mid-conversation.\n     <\/p>\n   <\/div>\n \n\n        <div style=\"clear: both;\"><\/div>\n\n         <!-- Outputs block -->\n         <h3 style=\"font-size: 28px; font-weight: 700; text-align: center; margin: 80px 0 40px; color: white;\">Your conversation becomes a deliverable.<\/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\/adjudicator\/\" style=\"color: white; text-decoration: none;\">The Adjudicator<\/a><\/h4>\n                 <p style=\"font-size: 16px; line-height: 1.6; margin: 0;\">\n                     Monitors your conversation in real time. Extracts every decision, risk, disagreement, and action item. Generates a structured decision brief with a Disagreement\/Correction Index that shows exactly where the models clashed and what that means for your decision.\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\/features\/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                     Exports your conversation into 25+ professional templates: executive briefs, competitive analyses, strategy memos, risk assessments, research papers, board reports. One click. Formatted and ready as Markdown, PDF, or DOCX.\n                 <\/p>\n             <\/div>\n         <\/div>\n         <div style=\"clear: both;\"><\/div>\n     <\/div>\n <\/section>\n\n     <!-- CTA C - AFTER THE MODES -->\n     <div class=\"sg-cta\" data-cta-position=\"post-modes\" data-cta-provider=\"hallu-lp\">\n         <h2>You have seen the six modes. <br>Now run one real decision through them.<\/h2>\n         <p class=\"sg-cta__sub\">Start in Sequential &#8211; four frontier AIs reading each other on your actual question. If they catch one thing you would have missed, the week paid for itself.<\/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\">Run a Real Decision Free<\/a>\n         <p class=\"sg-cta__fine\">7 days free. No credit card. Sequential and Super Mind in the trial &#8211; Debate and Red Team join on Pro.<\/p>\n     <\/div>\n\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n <!-- SECTION: TESTIMONIAL + STATS -->\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\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\">Real Work<\/div>\n         <h2>Built for people who need decisions <br>that survive scrutiny.<\/h2>\n\n   <div class=\"sm-section__inner\">\n     <div class=\"sm-testimonials__grid\">\n       <!-- Featured -->\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           &ldquo;5 AIs were a go-to resource in setting up our new business venture in NYC. From red teaming the initial idea (with harsh feedback), studio market and competitors analysis, to day to day brainstorming about launch phases and website setup. Being able to bounce any idea off 5 AIs, get a clear filtered answer and a todo list in 10 minutes helps a lot.&rdquo;\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 &amp; Funduck Production<\/p>\n           <\/div>\n         <\/figcaption>\n       <\/figure>\n\n       <!-- Supporting column -->\n       <div class=\"sm-testimonials__column\">\n         <figure class=\"sm-testimonials__card\">\n           <blockquote class=\"sm-testimonials__card-quote\">\n             &ldquo;I started using it for competitor research and it just kept expanding &#8211; new markets, risk reviews, compliance docs. Five different angles on the same question catches things I would have missed.&rdquo;\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; Co-founder, Miss Amara<\/p>\n             <\/div>\n           <\/figcaption>\n         <\/figure>\n\n         <figure class=\"sm-testimonials__card\">\n           <blockquote class=\"sm-testimonials__card-quote\">\n             &ldquo;We run everything through Suprmind now &#8211; new business ideas, client contracts, marketing strategies. Having five AIs push back on each other in one thread replaced hours of second-guessing between tools.&rdquo;\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\">Co-founder &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             &ldquo;For analyzing business plans and evaluating client processes, the depth you get from five models reading each other is genuinely different. The Master Document export with custom prompt alone saves me hours on final reports.&rdquo;\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\">Senior International Adviser, 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 <!-- Stats -->\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\">Frontier Models<\/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\">Orchestration Modes<\/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 Templates<\/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\">Words per Research Symphony Report<\/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             Disagreement is the feature.\n         <\/p>\n     <\/div>\n <\/section>\n\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n <!-- SECTION: FINAL CTA -->\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n\n <section style=\"padding: 100px 48px;\">\n     <div class=\"cta-section\">\n         <h2>Stop trusting one AI to tell you <br>when it&#8217;s wrong. It can&#8217;t.<\/h2>\n         <p class=\"cta-subtitle\">\n             Run your next hard question through five frontier models in one conversation. Watch them fact-check each other, disagree with each other, and leave you with a deliverable you can actually defend.\n         <\/p>\n <div class=\"hero-cta-group\">\n         <a href=\"\/signup\/spark\" class=\"btn-white\">Start Your Free Trial<\/a>\n <\/div>\n         <p style=\"margin-top: 24px; font-size: 14px; opacity: 0.7;\">7 days free. No credit card. Grok, GPT, Claude and Gemini in the trial &#8211; Perplexity joins on Pro.<\/p>\n     <\/div>\n <\/section>\n\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n <!-- SECTION: FAQ -->\n <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n\n <section id=\"faq\" aria-labelledby=\"faq-heading\">\n     <p class=\"section-label\">FAQ<\/p>\n     <h2 id=\"faq-heading\">Which AI hallucinates the least? <br>Direct answers to the question itself.<\/h2>\n\n     <div class=\"faq-accordion\">\n         <!-- FAQ 1 -->\n         <details class=\"faq-item\" open>\n             <summary class=\"faq-question\">\n                 <span>Which AI hallucinates the least in 2026?<\/span>\n                 <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">No single AI model wins across every task. Benchmarks rank different models highest depending on whether you&#8217;re testing summarization faithfulness, citation accuracy, grounded factuality, or general reasoning &#8211; Vectara puts one model on top, AA-Omniscience another, FACTS a third. The practical answer for real work is not one model with the lowest hallucination rate. It is running five frontier models in one thread where they correct each other, backed by an independent verifier that checks the claims none of them questioned. Suprmind calls that the AI Anti-Hallucinogen. <a href=\"\/hub\/ai-hallucination-rates-and-benchmarks\/\" style=\"color: #fff; text-decoration: underline;\">See the full 2026 benchmark breakdown.<\/a><\/p>\n             <\/div>\n         <\/details>\n\n         <!-- FAQ 2 -->\n         <details class=\"faq-item\">\n             <summary class=\"faq-question\">\n                 <span>Which LLM model has the lowest hallucination rate?<\/span>\n                 <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">On any single benchmark, you will see a leaderboard with one model on top. Those numbers are real for that specific test &#8211; and they don&#8217;t generalize to every business question. Vectara HHEM measures faithfulness to a source document. AA-Omniscience measures whether a model knows what it doesn&#8217;t know. FACTS measures grounded factuality across four different slices. A model that scores best on one routinely falls mid-pack on another. Suprmind treats benchmarks as inputs to model selection inside the platform, not as proof that one LLM is infallible on your specific work.<\/p>\n             <\/div>\n         <\/details>\n\n         <!-- FAQ 3 -->\n         <details class=\"faq-item\">\n             <summary class=\"faq-question\">\n                 <span>Which AI is least likely to hallucinate on business decisions?<\/span>\n                 <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">For high-stakes work &#8211; acquisitions, IC memos, compliance review, legal interpretation, strategy validation &#8211; the most accurate AI setup is a multi-AI system that surfaces disagreement, not a single AI optimized for a benchmark. In 1,324 production turns measured by Suprmind, 99.1% of multi-AI turns surfaced at least one contradiction, correction, or unique insight that a single model would have missed. That is the category Suprmind occupies &#8211; the workflow that catches what one AI alone cannot.<\/p>\n             <\/div>\n         <\/details>\n\n         <!-- FAQ 4 -->\n         <details class=\"faq-item\">\n             <summary class=\"faq-question\">\n                 <span>Can any AI eliminate hallucinations completely?<\/span>\n                 <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">No system built on current large language models can eliminate hallucinations. Every frontier AI fabricates at some rate, especially on questions requiring citation, retrieval, or real-world grounding. Suprmind doesn&#8217;t fix that at the model level, because it cannot be fixed there. It works structurally: five models in one thread means each answer can be contradicted by the next, and an independent verifier checks every risky claim against live sources and corrects what is wrong before it reaches your document. The fabrication still happens. It just does not survive.<\/p>\n             <\/div>\n         <\/details>\n\n         <!-- FAQ 5 -->\n         <details class=\"faq-item\">\n             <summary class=\"faq-question\">\n                 <span>Why use five AI models instead of just the single best one?<\/span>\n                 <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">AI models fail in different ways. GPT, Claude, Gemini, Grok, and Perplexity were trained on different data with different reasoning patterns, different tool access, and different guardrails. When all five process the same question in a shared thread, their failure modes collide visibly instead of compounding privately. In Suprmind&#8217;s research dataset, Perplexity caught 9.77 times more cross-model errors than Gemini &#8211; which means whichever single model you&#8217;d have picked, the others were positioned to catch what it missed. That is the lowest hallucination AI workflow in practice: not a &#8220;best model&#8221; bet, but five-model cross-verification.<\/p>\n             <\/div>\n         <\/details>\n\n         <!-- FAQ 6 -->\n         <details class=\"faq-item\">\n             <summary class=\"faq-question\">\n                 <span>Which LLM has the least hallucinations for compliance and regulatory work?<\/span>\n                 <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">For compliance work, the risk is not just invented facts &#8211; it is overstated certainty. A single AI will read an ambiguous regulatory clause and produce a confident interpretation without flagging that the interpretation is contested. Suprmind&#8217;s Red Team mode assigns models to six attack vectors specifically including regulatory exposure &#8211; one model is tasked with finding where the output is more confident than the underlying regulation supports. Where the five models diverge on interpretation is exactly where you have real ambiguity, and exactly where a single AI would have hidden it.<\/p>\n             <\/div>\n         <\/details>\n\n         <!-- FAQ 7 - Pricing for conversion -->\n         <details class=\"faq-item\">\n             <summary class=\"faq-question\">\n                 <span>How much does Suprmind cost?<\/span>\n                 <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n             <\/summary>\n             <div class=\"faq-answer\">\n                 <p style=\"font-size: 16px;\">Spark starts at $19\/month with a 7-day free trial and no credit card required &#8211; four frontier AI models (Perplexity joins on Pro), Sequential and Super Mind orchestration. Pro is $45\/month and adds Perplexity, Debate, Red Team, and First Principles modes plus the full decision intelligence layer. Frontier is $95\/month with the full model lineup and Master Project cross-workspace memory. Power is $195\/month with bring-your-own-keys and the highest usage capacity of any self-serve plan. Enterprise pricing is per-seat plus a managed AI allocation, sized on a discovery call. One subscription covers every model in your tier &#8211; no separate ChatGPT Plus, Claude Pro, or Perplexity Pro fees layered on top. <a href=\"\/hub\/pricing\/\" style=\"color: #fff; text-decoration: underline;\">See all plans.<\/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         Disagreement is the feature.\n     <\/p>\n     <p style=\"font-size: 14px; color: #e5e7eb; font-style: italic;\">\n         A multi-AI platform for professionals who need more than one perspective.\n     <\/p>\n <\/section>\n\n <\/div>\n <\/div>","protected":false},"excerpt":{"rendered":"<p>A single AI hallucinates with confidence and no one is there to calls it out.<br \/>\nSuprmind runs your question through five frontier AI models that read each other, disagree out loud, so when one model gets it wrong, the others catch it before it reaches your decision.<br \/>\nThat is the practical answer to \u201cwhich AI hallucinates the least\u201d \u2013 not a single model, but a workflow where one wrong answer cannot survive<br \/>\nfour other AIs.<\/p>\n","protected":false},"author":1,"featured_media":7880,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"supr-pricing.php","meta":{"wpai_meta_description":"","footnotes":""},"tags":[],"class_list":["post-5530","page","type-page","status-publish","has-post-thumbnail","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 4.9.9 - aioseo.com -->\n\t<meta name=\"description\" content=\"No single AI model has the lowest hallucination rate. 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