{"id":1943,"date":"2026-01-30T23:24:33","date_gmt":"2026-01-30T23:24:33","guid":{"rendered":"https:\/\/suprmind.ai\/hub\/comparison\/kongxlm-alternative\/"},"modified":"2026-05-04T17:54:12","modified_gmt":"2026-05-04T17:54:12","slug":"kongxlm-alternative","status":"publish","type":"competitor","link":"https:\/\/suprmind.ai\/hub\/comparison\/kongxlm-alternative\/","title":{"rendered":"KongXLM Alternative"},"content":{"rendered":"<p><!-- 1. HERO --><\/p>\n<section style=\"padding: 80px 48px 60px; text-align: center;\">\n<h1 style=\"font-size: 56px; font-weight: 600; margin: 0 0 16px 0; line-height: 1.1; letter-spacing: -0.02em;\">Suprmind, KongXLM Alternative<\/h1>\n<p style=\"font-size: 16px; color: #9ca3af; margin: 0 0 32px 0;\">Updated May 2026<\/p>\n<p style=\"font-size: 18px; line-height: 1.7; color: #e5e7eb; max-width: 800px; margin: 0 auto;\">\n        <strong style=\"color: #fff;\">If KongXLM is what you&#8217;re using now, everything you depend on, Suprmind handles too:<\/strong> multi-model prompts across frontier providers (GPT, Claude, Gemini, Grok, Perplexity Sonar), Council-style parallel synthesis, smart auto-routing, web-augmented answers, file and vision attachments, project workspaces, image generation, and deep reasoning on demand.\n    <\/p>\n<p>        <a href=\"\/hub?page_id=3397\" style=\"margin-top: 30px; display: inline-block; background: #fff; color: #05020b; padding: 18px 40px; border-radius: 8px; font-weight: 600; font-size: 18px; text-decoration: none;\">See Pricing &amp; Register Your New Account<\/a><\/p>\n<p style=\"margin-top: 16px; font-size: 14px; color: #9ca3af;\">Plans start at $4\/month<\/p>\n<\/section>\n<p><!-- 2. TL;DR QUICK VERDICT --><\/p>\n<section style=\"padding: 0 48px 60px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<div style=\"background: rgba(255,255,255,0.02); border: 2px solid rgba(255,255,255,0.08); border-radius: 12px; overflow: hidden;\">\n<div style=\"background: rgba(255,255,255,0.04); padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.08);\">\n                <strong style=\"color: #fff; font-size: 14px; text-transform: uppercase; letter-spacing: 0.05em;\">TL;DR \u2014 Quick Verdict<\/strong>\n            <\/div>\n<div style=\"padding: 24px 32px;\">\n<div class=\"sm-cmp-row sm-cmp-header\" style=\"gap: 16px; margin-bottom: 24px;\">\n<div style=\"font-weight: 600; color: #9ca3af;\">Question<\/div>\n<div style=\"font-weight: 600; color: #9ca3af; text-align: center;\">KongXLM<\/div>\n<div style=\"font-weight: 600; color: #fff; text-align: center;\">Suprmind<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"gap: 16px; padding: 12px 0; border-top: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Models per prompt<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">Up to 8 (from 19-model lineup)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">5 frontier (curated, all in)<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"gap: 16px; padding: 12px 0; border-top: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Parallel-synthesis mode<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">Council (3-stage peer review)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">Super Mind (parallel + cross-model verification)<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"gap: 16px; padding: 12px 0; border-top: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Orchestration modes<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">8 Thought Modes (Auto Route, Best Answer, Fastest, Cost Optimized, Web Augmented, Deep Think, Council, Image Gen)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">6 modes (Sequential, Super Mind, Debate, Red Team, First Principles, Research Symphony)<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"gap: 16px; padding: 12px 0; border-top: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Decision deliverable<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">Chat output + AI Drive files<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">Master Doc Generator (25+ pro formats) + DVE verdict<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"gap: 16px; padding: 12px 0; border-top: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Pricing<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">$0 \/ $29 \/ $99 per month<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">$4 \/ $45 \/ $95 per month<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- 3. DEMO CHAT EMBED (NEW \u2014 ALL TIERS) --><\/p>\n<section style=\"padding: 0 48px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<p style=\"font-size: 14px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.05em; color: rgba(255,255,255,0.7); margin-bottom: 16px; text-align: center;\">SEE IT FOR YOURSELF<\/p>\n<h2 style=\"font-size: 24px; font-weight: 600; text-align: center; margin: 0 0 24px 0;\">See Suprmind Sequential Mode in a Simple Scenario<\/h2>\n<p style=\"font-size: 16px; color: #9ca3af; text-align: center; margin: 0 0 32px 0;\">This interactive multi-model AI demo runs about 90 seconds. Explore the right sidebar and Master Document as it plays. Scroll away to pause; scroll back when you&#8217;re ready and it picks up where you left off.<\/p>\n<\/p><\/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<p><!-- 4. INTRO CARD \u2014 Similarity-First deep framing (Tier 1+2) --><\/p>\n<section style=\"padding: 40px 48px 60px; max-width: 900px;\">\n<div style=\"max-width: 800px; margin: 0 auto; border: 2px solid rgba(255,255,255,0.08); border-radius: 12px; padding: 40px;\">\n<p style=\"font-size: 18px; line-height: 1.7; color: #e5e7eb; margin: 0 0 24px 0;\">\n            KongXLM and Suprmind both run prompts through multiple frontier AI models in a single shot. Both run questions through multiple frontier models (their Council; our Super Mind). Both auto-route prompts to the right model when you don&#8217;t want to pick (their Auto Route; our AI Power Selector). Both upload files and share them across every model in the conversation (their AI Drive; our Projects). Both pull live web context on demand (their Web Augmented; our native web search).\n        <\/p>\n<div style=\"background: rgba(139, 92, 246, 0.1); border: 1px solid rgba(139, 92, 246, 0.3); border-radius: 8px; padding: 24px; margin-top: 24px;\">\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 0;\">\n                <strong style=\"color: #fff;\">What you also get on Suprmind:<\/strong><\/p>\n<p>                Six structured orchestration modes \u2014 Sequential, Super Mind, Debate, Red Team, First Principles, and Research Symphony \u2014 that go beyond parallel-ensemble synthesis. A Master Document Generator that exports any conversation as one of 25+ professional formats: Investment Memo, Executive Brief, SWOT, Legal Brief, Research Paper, and 20 more. A Decision Validation Engine that turns analysis into a GO \/ NO-GO verdict with a risk register. An Adjudicator that produces an independent decision brief from the full thread. Project Knowledge Graph that auto-extracts entities and decisions across conversations. Smart Visualizations auto-embedded in PDF and DOCX exports. EU (Germany) compute with Switzerland database hosting.\n            <\/p>\n<\/p><\/div>\n<p style=\"font-size: 16px; line-height: 1.7; color: #9ca3af; margin: 24px 0 0 0;\">\n            KongXLM does breadth and prediction well. The 19-model lineup at $29\/month is genuinely the broadest in the cohort, the Image Gen mode bundles 9 image models into the same subscription, and the Oracle tier&#8217;s OMNiEYE Prediction Engine, 30&#215;13 Swarm, God Mode, and Pursuit Loop are KongXLM-distinct capabilities targeting forward-looking signal and convergence \u2014 Suprmind has no equivalent prediction product. If breadth of named models or Oracle-tier forecasting is your primary requirement, KongXLM earns its place.\n        <\/p>\n<\/p><\/div>\n<\/section>\n<p><!-- 5. WHAT IS KONGXLM? --><\/p>\n<section style=\"padding: 60px 48px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<p style=\"font-size: 14px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.05em; color: rgba(255,255,255,0.7); margin-bottom: 16px;\">THE COMPETITOR<\/p>\n<h2 style=\"font-size: 32px; font-weight: 600; margin: 0 0 24px 0;\">What is KongXLM?<\/h2>\n<p style=\"font-size: 18px; line-height: 1.7; color: #e5e7eb; margin: 0 0 32px 0;\">\n            KongXLM is a multi-model AI orchestration platform that compares answers from 19 AI models side by side in a single prompt. Eight named Thought Modes route the prompt differently \u2014 Auto Route picks a single best-fit model, Best Answer runs several and picks the winner, Council runs a 3-stage peer-review across multiple models. The higher Oracle tier adds OMNiEYE Prediction Engine, 30&#215;13 Swarm Intelligence, God Mode, and Pursuit Loop \u2014 Oracle&#8217;s pitch is forward-looking convergence on predictive questions, with live market data and executive track-record signals.\n        <\/p>\n<div class=\"sm-two-col\">\n<div style=\"padding: 32px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<h3 style=\"font-size: 18px; font-weight: 600; margin: 0 0 20px 0; color: #fff;\">KongXLM Modes<\/h3>\n<ul style=\"list-style: none; padding: 0; margin: 0;\">\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Auto Route<\/strong> \u2013 sends the prompt to the best-fit model<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Best Answer<\/strong> \u2013 runs multiple models, picks the strongest<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Fastest<\/strong> \u2013 speed-optimized routing<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Cost Optimized<\/strong> \u2013 cheapest path that meets the bar<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Web Augmented<\/strong> \u2013 live web context for queries<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Deep Think<\/strong> \u2013 extended reasoning for complex prompts<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Council<\/strong> \u2013 3-stage peer-review across multiple models<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb;\"><strong>Image Gen<\/strong> \u2013 9 bundled image models (Pro+)<\/li>\n<\/ul>\n<p style=\"font-size: 13px; color: #9ca3af; margin: 16px 0 0 0; font-style: italic;\">No named modes for sequential chain-of-models, debate, red team, or first principles deliberation.<\/p>\n<\/p><\/div>\n<div style=\"padding: 32px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<h3 style=\"font-size: 18px; font-weight: 600; margin: 0 0 20px 0; color: #fff;\">Company Details<\/h3>\n<ul style=\"list-style: none; padding: 0; margin: 0;\">\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Legal entity:<\/strong> AI Interfaces, Inc. (AIII) dba KongXLM<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>HQ:<\/strong> San Francisco, California<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Founder\/CEO:<\/strong> Rob Shambro (4 prior exits)<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Funding:<\/strong> Pre-seed closed; seed open Jan 2026; NVIDIA Inception Partner<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Launch:<\/strong> Live (verified May 2026)<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb;\"><strong>Models:<\/strong> 19 named (GPT-5.4, Claude 4.6, Gemini 3, Grok 4.20, DeepSeek, GLM, Llama, Command, Mistral, Groq, Sonar, Qwen, Kimi, regional), up to 8 in parallel<\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- 6. FEATURE-BY-FEATURE COMPARISON TABLE --><\/p>\n<section id=\"comparison\" style=\"padding: 60px 48px; background: rgba(255,255,255,0.02);\">\n<div style=\"max-width: 1000px; margin: 0 auto;\">\n<p style=\"font-size: 14px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.05em; color: rgba(255,255,255,0.7); margin-bottom: 16px; text-align: center;\">THE VERDICT<\/p>\n<h2 style=\"font-size: 32px; font-weight: 600; text-align: center; margin: 0 0 48px 0;\">Feature-by-Feature Comparison<\/h2>\n<div style=\"border: 2px solid rgba(255,255,255,0.08); border-radius: 12px; overflow: hidden;\">\n<div class=\"sm-cmp-row sm-cmp-header\" style=\"background: rgba(255,255,255,0.04); padding: 20px 32px; border-bottom: 1px solid rgba(255,255,255,0.08);\">\n<div style=\"font-weight: 600; color: #fff;\">Feature<\/div>\n<div style=\"font-weight: 600; color: #9ca3af; text-align: center;\">KongXLM<\/div>\n<div style=\"font-weight: 600; color: #fff; text-align: center;\">Suprmind<\/div>\n<\/p><\/div>\n<p>            <!-- Shared Capabilities --><\/p>\n<div style=\"background: rgba(255,255,255,0.02); padding: 12px 32px; border-bottom: 1px solid rgba(255,255,255,0.08);\">\n                <span style=\"font-size: 12px; font-weight: 600; text-transform: uppercase; color: #9ca3af;\">Shared Capabilities<\/span>\n            <\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Multi-Model Architecture<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 19 models, up to 8 per prompt<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e;\">\u2713 5 frontier models, all together<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Parallel Synthesis Mode<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 Council (3-stage peer review)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e;\">\u2713 Super Mind (parallel + verification)<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Smart Routing<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 Auto Route (picks best-fit model)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e;\">\u2713 AI Power Selector \/ Smart Selector<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Cross-Model Verification<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 Council peer-review stage<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e;\">\u2713 DCI tracking + Adjudicator review<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Document &#038; File Upload<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 File &#038; vision attachments + AI Drive (Pro+)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e;\">\u2713 5\u2013150 files\/project by tier<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Web-Augmented Answers<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 Web Augmented mode<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e;\">\u2713 Native web search on every model<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Image Generation<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 Image Gen mode (9 image models, Pro+)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e;\">\u2713 Image generation supported<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Deep Reasoning Mode<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 Deep Think<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e;\">\u2713 Deep Thinking on all 5 frontier models<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Project Workspaces<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 AI Drive (project file system)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e;\">\u2713 Projects + Knowledge Graph<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">API Access<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 Available on Oracle ($99\/mo)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e;\">\u2713 Available via Enterprise plan<\/div>\n<\/p><\/div>\n<p>            <!-- Suprmind Adds --><\/p>\n<div style=\"background: rgba(139, 92, 246, 0.1); padding: 12px 32px; border-bottom: 1px solid rgba(255,255,255,0.08);\">\n                <span style=\"font-size: 12px; font-weight: 600; text-transform: uppercase; color: #a78bfa;\">Suprmind Adds<\/span>\n            <\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Sequential Mode (chain-of-models)<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #6b7280;\">\u2014<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 Each model reads prior responses<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Debate Mode<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #6b7280;\">\u2014<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 Oxford, Parliamentary, Lincoln-Douglas<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Red Team Mode<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #6b7280;\">\u2014<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 4 attack vectors + mitigation synthesis<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">First Principles Mode<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #6b7280;\">\u2014<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 Strip assumptions, rebuild<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Decision Validation Engine<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #6b7280;\">\u2014<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 6-stage GO\/NO-GO with risk register<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Adjudicator (decision briefs)<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #6b7280;\">\u2014<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 Independent synthesis from full thread<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Master Document Generator<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #6b7280;\">\u2014<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 25+ professional templates<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Smart Visualizations<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #6b7280;\">\u2014<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 Interactive charts auto-embedded in exports<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">@Mention Orchestration + Mode Chaining<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #6b7280;\">\u2014<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 Direct conductor control<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Master Project (cross-workspace)<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #6b7280;\">\u2014<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 Query everything at once (Frontier+)<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">EU + Switzerland Hosting<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #6b7280;\">\u2014<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 Germany compute + Switzerland database<\/div>\n<\/p><\/div>\n<p>            <!-- KongXLM Advantages --><\/p>\n<div style=\"background: rgba(156, 163, 175, 0.1); padding: 12px 32px; border-bottom: 1px solid rgba(255,255,255,0.08);\">\n                <span style=\"font-size: 12px; font-weight: 600; text-transform: uppercase; color: #9ca3af;\">KongXLM Advantages<\/span>\n            <\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Named-Model Lineup<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 19 models (frontier + open-weight + regional)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #9ca3af;\">5 frontier (curated)<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">OMNiEYE Prediction Engine<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 Oracle-tier forward-looking signals<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #9ca3af;\">No equivalent prediction product<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">30&#215;13 Swarm Intelligence<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 30 agents x 13 LLMs (Oracle)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #9ca3af;\">No equivalent swarm-scale<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">God Mode + Pursuit Loop<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 95%+ confidence convergence (Oracle)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #9ca3af;\">DVE produces verdict + risk register instead<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Image Gen Bundled Models<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 9 image models in subscription<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #9ca3af;\">Image generation supported (smaller bundle)<\/div>\n<\/p><\/div>\n<p>            <!-- Pricing --><\/p>\n<div style=\"background: rgba(255,255,255,0.04); padding: 12px 32px; border-bottom: 1px solid rgba(255,255,255,0.08);\">\n                <span style=\"font-size: 12px; font-weight: 600; text-transform: uppercase; color: #fff;\">Pricing<\/span>\n            <\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Free Tier<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">$0\/mo Starter (5 runs\/day, Auto Route + Fastest)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">14-day free trial<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Entry Paid Tier<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">$29\/mo Pro (unlimited, all 8 modes, all 19 models)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">$4\/mo Spark<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Mid Tier<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">No mid tier between $29 and $99<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">$45\/mo Pro<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px; border-bottom: 1px solid rgba(255,255,255,0.04); background: rgba(255,255,255,0.02);\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Top Consumer Tier<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">$99\/mo Oracle (OMNiEYE, Swarm, God Mode, API)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">$95\/mo Frontier<\/div>\n<\/p><\/div>\n<div class=\"sm-cmp-row\" style=\"padding: 16px 32px;\">\n<div class=\"sm-cmp-cell-feature\" style=\"color: #e5e7eb;\">Enterprise<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">Custom (available on request)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">Custom per-seat, billed annually<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- 7. THE SAME QUESTION, MORE OPTIONS (Tier 1+2) --><\/p>\n<section style=\"padding: 80px 48px;\">\n<div style=\"max-width: 1000px; margin: 0 auto;\">\n<p style=\"font-size: 14px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.05em; color: rgba(255,255,255,0.7); margin-bottom: 16px; text-align: center;\">THE SAME QUESTION, MORE OPTIONS<\/p>\n<h2 style=\"font-size: 32px; font-weight: 600; text-align: center; margin: 0 0 16px 0;\">Same Multi-Model Answer, Plus Optional Next Steps<\/h2>\n<p style=\"font-size: 18px; color: #9ca3af; text-align: center; margin: 0 0 48px 0;\">Suprmind starts identical to KongXLM Council. Then optionally goes further.<\/p>\n<div class=\"sm-flow-grid\">\n<div style=\"vertical-align: top; padding: 32px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<h3 style=\"font-size: 18px; font-weight: 600; margin: 0 0 24px 0; color: #9ca3af;\">What KongXLM Produces<\/h3>\n<div style=\"font-family: monospace; font-size: 14px; line-height: 2; color: #e5e7eb; background: rgba(0,0,0,0.3); padding: 20px; border-radius: 8px;\">\n                    You ask a question<br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    Up to 8 models run in parallel (Council)<br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    3-stage peer-review reconciles answers<br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    <strong style=\"color: #fff;\">You get: A multi-model synthesized answer<\/strong>\n                <\/div>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 16px 0 0 0;\">Strong for breadth across 19 named models. Oracle adds prediction signals.<\/p>\n<\/p><\/div>\n<div style=\"vertical-align: top; padding: 32px; border: 2px solid rgba(139, 92, 246, 0.3); border-radius: 12px; background: rgba(139, 92, 246, 0.05);\">\n<h3 style=\"font-size: 18px; font-weight: 600; margin: 0 0 24px 0; color: #fff;\">What Suprmind Adds<\/h3>\n<div style=\"font-family: monospace; font-size: 14px; line-height: 2; color: #e5e7eb; background: rgba(0,0,0,0.3); padding: 20px; border-radius: 8px;\">\n                    You ask a question<br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    All 5 frontier models run in parallel (Super Mind)<br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    DCI tracks every disagreement &amp; correction<br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    <strong style=\"color: #fff;\">You get: A multi-model synthesized answer<\/strong><br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    <span style=\"color: #a78bfa;\">Optional: Run Sequential to chain models<\/span><br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    <span style=\"color: #a78bfa;\">Optional: Run Red Team to stress-test it<\/span><br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    <span style=\"color: #a78bfa;\">Optional: Run Adjudicator for decision brief<\/span><br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    <span style=\"color: #a78bfa;\">Optional: Export as Master Doc (25+ formats)<\/span><br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    <span style=\"color: #a78bfa;\">Optional: Run DVE for GO\/NO-GO verdict<\/span>\n                <\/div>\n<p style=\"font-size: 14px; color: #a78bfa; margin: 16px 0 0 0;\">Same starting point. More options for what comes next.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<div style=\"text-align: center; margin-top: 40px; padding: 24px; background: rgba(255,255,255,0.02); border-radius: 8px;\">\n<p style=\"font-size: 16px; color: #9ca3af; margin: 0;\">\n                <strong style=\"color: #9ca3af;\">KongXLM:<\/strong> &#8220;One Prompt. 19 AI Models. Limitless Orchestration.&#8221;<br \/>\n                <strong style=\"color: #fff;\">Suprmind:<\/strong> Multi-model accuracy, plus six orchestration modes and decision deliverables.\n            <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- 8. THE SUPRMIND STACK --><\/p>\n<section style=\"padding: 80px 48px; background: rgba(255,255,255,0.02);\">\n<div style=\"max-width: 1100px; margin: 0 auto;\">\n<p style=\"font-size: 14px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.05em; color: rgba(255,255,255,0.7); margin-bottom: 16px; text-align: center;\">WHAT SUPRMIND ADDS<\/p>\n<h2 style=\"font-size: 32px; font-weight: 600; text-align: center; margin: 0 0 16px 0;\">Beyond the Multi-Model Answer<\/h2>\n<p style=\"font-size: 18px; color: #9ca3af; text-align: center; margin: 0 0 48px 0;\">Six modes, document deliverables, and decision tooling that build on the multi-model foundation.<\/p>\n<div class=\"sm-stack-grid\">\n<div style=\"padding: 32px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<p style=\"font-size: 12px; font-weight: 600; text-transform: uppercase; color: #22c55e; margin: 0 0 12px 0;\">Unique to Suprmind<\/p>\n<h3 style=\"font-size: 20px; font-weight: 600; margin: 0 0 12px 0;\">Sequential Mode<\/h3>\n<p style=\"font-size: 15px; color: #9ca3af; margin: 0;\">Each frontier model reads what the prior models said and revises. The chain produces a synthesis no single model would arrive at \u2014 useful when the question rewards iteration, not just polling.<\/p>\n<\/p><\/div>\n<div style=\"padding: 32px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<p style=\"font-size: 12px; font-weight: 600; text-transform: uppercase; color: #22c55e; margin: 0 0 12px 0;\">Unique to Suprmind<\/p>\n<h3 style=\"font-size: 20px; font-weight: 600; margin: 0 0 12px 0;\">Red Team Mode<\/h3>\n<p style=\"font-size: 15px; color: #9ca3af; margin: 0;\">4 attack vectors: Technical Feasibility, Logical Consistency, Practical Implementation, Mitigation Synthesis. After you have a Council-style synthesized answer, Red Team stress-tests whether it survives real-world conditions.<\/p>\n<\/p><\/div>\n<div style=\"padding: 32px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<p style=\"font-size: 12px; font-weight: 600; text-transform: uppercase; color: #22c55e; margin: 0 0 12px 0;\">Unique to Suprmind<\/p>\n<h3 style=\"font-size: 20px; font-weight: 600; margin: 0 0 12px 0;\">Decision Validation Engine<\/h3>\n<p style=\"font-size: 15px; color: #9ca3af; margin: 0;\">6-stage pipeline producing a GO \/ NO-GO \/ GO-WITH-CONDITIONS verdict with full risk register. For decisions where you need more than a synthesized answer \u2014 you need defensible reasoning attached to it.<\/p>\n<\/p><\/div>\n<div style=\"padding: 32px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<p style=\"font-size: 12px; font-weight: 600; text-transform: uppercase; color: #22c55e; margin: 0 0 12px 0;\">Unique to Suprmind<\/p>\n<h3 style=\"font-size: 20px; font-weight: 600; margin: 0 0 12px 0;\">Master Document Generator<\/h3>\n<p style=\"font-size: 15px; color: #9ca3af; margin: 0;\">25+ professional templates: Investment Memo, Executive Brief, SWOT, Legal Brief, Research Paper, Dev Brief. Auto-embedded Smart Visualizations in PDF and DOCX exports.<\/p>\n<\/p><\/div>\n<div style=\"padding: 32px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<p style=\"font-size: 12px; font-weight: 600; text-transform: uppercase; color: #a78bfa; margin: 0 0 12px 0;\">Workspace Intelligence<\/p>\n<h3 style=\"font-size: 20px; font-weight: 600; margin: 0 0 12px 0;\">Adjudicator + DCI<\/h3>\n<p style=\"font-size: 15px; color: #9ca3af; margin: 0;\">DCI tracks every disagreement and correction across the conversation. Adjudicator reads the full thread, weighs the evidence, and produces an independent decision brief \u2014 a step beyond Council&#8217;s stage-bounded peer review.<\/p>\n<\/p><\/div>\n<div style=\"padding: 32px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<p style=\"font-size: 12px; font-weight: 600; text-transform: uppercase; color: #a78bfa; margin: 0 0 12px 0;\">Conductor Control<\/p>\n<h3 style=\"font-size: 20px; font-weight: 600; margin: 0 0 12px 0;\">@Mention + Mode Chaining<\/h3>\n<p style=\"font-size: 15px; color: #9ca3af; margin: 0;\">Direct specific AIs to specific tasks: &#8220;@claude review GPT&#8217;s analysis.&#8221; Chain modes mid-conversation: Super Mind \u2192 Red Team \u2192 Adjudicator on a single question.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- 9. DEEP DIVE \u2014 OMITTED FOR TIER 2 (KongXLM)\n     Section 9 reserved for Tier 1 pages. KongXLM is Tier 2 and skips Section 9.\n--><\/p>\n<p><!-- 10. PRICING JUSTIFICATION (Tier 1+2) --><\/p>\n<section style=\"padding: 60px 48px; background: rgba(255,255,255,0.02);\">\n<div style=\"max-width: 800px; margin: 0 auto;\">\n<p style=\"font-size: 14px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.05em; color: rgba(255,255,255,0.7); margin-bottom: 16px; text-align: center;\">THE PRICE QUESTION<\/p>\n<h2 style=\"font-size: 28px; font-weight: 600; text-align: center; margin: 0 0 32px 0;\">Similar Pricing Bands, Different Value Mix<\/h2>\n<div style=\"background: rgba(255,255,255,0.04); border-radius: 12px; padding: 32px; margin-bottom: 32px;\">\n<p style=\"font-size: 18px; line-height: 1.7; color: #e5e7eb; margin: 0;\">\n                KongXLM&#8217;s two paid tiers are <strong style=\"color: #fff;\">$29\/month Pro<\/strong> (unlimited, all 8 modes, all 19 models) and <strong style=\"color: #fff;\">$99\/month Oracle<\/strong> (Pro plus OMNiEYE Prediction Engine, 30&#215;13 Swarm, God Mode, Pursuit Loop, API). Pro is the cheapest unlimited multi-model tier in the cohort.<\/p>\n<p>                Suprmind is <strong style=\"color: #fff;\">$4\/month Spark<\/strong>, <strong style=\"color: #fff;\">$45\/month Pro<\/strong>, <strong style=\"color: #fff;\">$95\/month Frontier<\/strong>. Spark sits below KongXLM&#8217;s $0 Starter once you exceed 5 runs per day. Pro at $45 buys access to all 5 frontier models with 6 orchestration modes plus the Master Document Generator. Frontier at $95 adds Master Project for cross-workspace queries and the full DVE pipeline.\n            <\/p>\n<\/p><\/div>\n<p style=\"font-size: 16px; line-height: 1.7; color: #9ca3af; margin: 0; text-align: center;\">\n            For breadth-of-models day-to-day usage at the lowest unlimited price: KongXLM Pro at $29\/month is genuinely hard to beat.<\/p>\n<p>            For professional workflows producing 5+ deliverables per month: Suprmind Pro at $45\/month adds the Master Document Generator, 6 orchestration modes, and the DCI\/Adjudicator stack \u2014 different math, different deliverable.<\/p>\n<p>            For top-tier comparison: Oracle ($99) vs Frontier ($95) sit within $4 of each other but produce different work products. Oracle targets prediction; Frontier targets defensible decision documentation.\n        <\/p>\n<\/p><\/div>\n<\/section>\n<p><!-- 11. WHO SHOULD CHOOSE WHICH --><\/p>\n<section style=\"padding: 80px 48px;\">\n<div style=\"max-width: 1100px; margin: 0 auto;\">\n<p style=\"font-size: 14px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.05em; color: rgba(255,255,255,0.7); margin-bottom: 16px; text-align: center;\">THE RIGHT FIT<\/p>\n<h2 style=\"font-size: 32px; font-weight: 600; text-align: center; margin: 0 0 48px 0;\">Who Should Choose Which?<\/h2>\n<div class=\"sm-two-col\">\n<div style=\"padding: 40px; border: 2px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<h3 style=\"font-size: 20px; font-weight: 600; margin: 0 0 24px 0; color: #9ca3af;\">Choose KongXLM If:<\/h3>\n<ul style=\"list-style: none; padding: 0; margin: 0;\">\n<li style=\"display: flex; align-items: flex-start; gap: 12px; margin-bottom: 12px; font-size: 16px; color: #e5e7eb;\">\n                        <span style=\"color: #9ca3af;\">\u2014<\/span><br \/>\n                        <span>Breadth of named models matters \u2014 you want responses from open-weight (Llama, Mistral, DeepSeek) or regional models (Qwen, Kimi) alongside the frontier set<\/span>\n                    <\/li>\n<li style=\"display: flex; align-items: flex-start; gap: 12px; margin-bottom: 12px; font-size: 16px; color: #e5e7eb;\">\n                        <span style=\"color: #9ca3af;\">\u2014<\/span><br \/>\n                        <span>Forward-looking prediction is the work product, and the Oracle tier&#8217;s OMNiEYE Prediction Engine, Swarm, and Pursuit Loop fit your forecasting workflow<\/span>\n                    <\/li>\n<li style=\"display: flex; align-items: flex-start; gap: 12px; margin-bottom: 12px; font-size: 16px; color: #e5e7eb;\">\n                        <span style=\"color: #9ca3af;\">\u2014<\/span><br \/>\n                        <span>Image generation is part of your daily workflow and the Image Gen mode&#8217;s 9 bundled image models matters more than mode richness<\/span>\n                    <\/li>\n<li style=\"display: flex; align-items: flex-start; gap: 12px; margin-bottom: 12px; font-size: 16px; color: #e5e7eb;\">\n                        <span style=\"color: #9ca3af;\">\u2014<\/span><br \/>\n                        <span>You want the lowest unlimited multi-model tier ($29\/month Pro) and don&#8217;t need structured deliberation modes<\/span>\n                    <\/li>\n<li style=\"display: flex; align-items: flex-start; gap: 12px; font-size: 16px; color: #e5e7eb;\">\n                        <span style=\"color: #9ca3af;\">\u2014<\/span><br \/>\n                        <span>Your work product is a prompt-and-answer interaction, not a deliverable document<\/span>\n                    <\/li>\n<\/ul><\/div>\n<div style=\"padding: 40px; border: 2px solid rgba(139, 92, 246, 0.3); border-radius: 12px; background: rgba(139, 92, 246, 0.05);\">\n<h3 style=\"font-size: 20px; font-weight: 600; margin: 0 0 24px 0; color: #fff;\">Choose Suprmind If:<\/h3>\n<ul style=\"list-style: none; padding: 0; margin: 0;\">\n<li style=\"display: flex; align-items: flex-start; gap: 12px; margin-bottom: 12px; font-size: 16px; color: #e5e7eb;\">\n                        <span style=\"color: #22c55e; font-weight: 600;\">+<\/span><br \/>\n                        <span>Your work produces deliverables (memos, briefs, reports, recommendations) that need 25+ professional templates<\/span>\n                    <\/li>\n<li style=\"display: flex; align-items: flex-start; gap: 12px; margin-bottom: 12px; font-size: 16px; color: #e5e7eb;\">\n                        <span style=\"color: #22c55e; font-weight: 600;\">+<\/span><br \/>\n                        <span>Decisions in your work have consequences and you need a defensible verdict (DVE) plus risk register, not just a synthesized answer<\/span>\n                    <\/li>\n<li style=\"display: flex; align-items: flex-start; gap: 12px; margin-bottom: 12px; font-size: 16px; color: #e5e7eb;\">\n                        <span style=\"color: #22c55e; font-weight: 600;\">+<\/span><br \/>\n                        <span>You need structured deliberation modes (Sequential, Debate, Red Team, First Principles) on top of parallel synthesis<\/span>\n                    <\/li>\n<li style=\"display: flex; align-items: flex-start; gap: 12px; margin-bottom: 12px; font-size: 16px; color: #e5e7eb;\">\n                        <span style=\"color: #22c55e; font-weight: 600;\">+<\/span><br \/>\n                        <span>Cross-thread project memory and Project Knowledge Graph would accelerate your research workflows<\/span>\n                    <\/li>\n<li style=\"display: flex; align-items: flex-start; gap: 12px; margin-bottom: 12px; font-size: 16px; color: #e5e7eb;\">\n                        <span style=\"color: #22c55e; font-weight: 600;\">+<\/span><br \/>\n                        <span>EU (Germany) compute and Switzerland database hosting matter for your data-residency requirements<\/span>\n                    <\/li>\n<li style=\"display: flex; align-items: flex-start; gap: 12px; font-size: 16px; color: #e5e7eb;\">\n                        <span style=\"color: #22c55e; font-weight: 600;\">+<\/span><br \/>\n                        <span>Output format matters as much as content quality (Master Doc Generator with Smart Visualizations)<\/span>\n                    <\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- 12. CATEGORY CONTEXT \u2014 OMITTED FOR KONGXLM\n     (Section appears only on BoodleBox and Pelidum MPAC, where buyer is genuinely orthogonal.\n     KongXLM's buyer overlaps with Suprmind's, so under Similarity-First Principle, no category-split section.)\n--><\/p>\n<p><!-- 13. FAQ (ALL TIERS) --><\/p>\n<section style=\"padding: 80px 48px;\">\n<div style=\"max-width: 800px; margin: 0 auto;\">\n<p style=\"font-size: 14px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.05em; color: rgba(255,255,255,0.7); margin-bottom: 16px; text-align: center;\">FREQUENTLY ASKED<\/p>\n<h2 style=\"font-size: 32px; font-weight: 600; text-align: center; margin: 0 0 48px 0;\">KongXLM vs Suprmind \u2014 Common Questions<\/h2>\n<div style=\"display: flex; flex-direction: column; gap: 16px;\">\n<details style=\"padding: 24px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<summary style=\"font-size: 18px; font-weight: 600; color: #fff; cursor: pointer;\">Does Suprmind do everything KongXLM does on multi-model answers?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    Yes. Both run prompts through multiple frontier models in parallel \u2014 KongXLM up to 8 of its 19-model lineup, Suprmind across all 5 frontier models (GPT, Claude, Gemini, Grok, Perplexity Sonar). Both surface where the models agree and where they diverge: KongXLM uses its Council 3-stage peer review, Suprmind uses DCI tracking with an Adjudicator decision brief. The core multi-model answer experience transfers; what&#8217;s different is what comes after.\n                <\/p>\n<\/details>\n<details style=\"padding: 24px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<summary style=\"font-size: 18px; font-weight: 600; color: #fff; cursor: pointer;\">Does Suprmind have an equivalent to KongXLM&#8217;s Council Mode?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    Yes \u2014 Suprmind&#8217;s Super Mind runs all 5 frontier models in parallel and synthesizes a single answer with cross-model verification. Suprmind also adds five other modes that Council doesn&#8217;t cover: Sequential (each model reads prior responses), Debate (formal proposition\/opposition), Red Team (4 attack vectors), First Principles (strip assumptions), and Research Symphony (Enterprise). Council and Super Mind sit on the same parallel-synthesis foundation; Suprmind adds structured deliberation on top.\n                <\/p>\n<\/details>\n<details style=\"padding: 24px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<summary style=\"font-size: 18px; font-weight: 600; color: #fff; cursor: pointer;\">Can I upload files and share them across models the way I do with KongXLM&#8217;s AI Drive?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    Yes. Suprmind&#8217;s Projects work the same way \u2014 upload files once and every frontier model in the conversation has access to them. Suprmind adds an automatic Project Knowledge Graph that extracts entities, decisions, and relationships across conversations, plus Master Project (Frontier+) for cross-workspace queries. File limits range from 5 to 150 files per project by tier.\n                <\/p>\n<\/details>\n<details style=\"padding: 24px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<summary style=\"font-size: 18px; font-weight: 600; color: #fff; cursor: pointer;\">How many AI models does each platform use?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    KongXLM advertises 19 models (GPT-5.4, Claude 4.6, Gemini 3, Grok 4.20, DeepSeek, GLM, Llama, Command, Mistral, Groq, Sonar, Qwen, Kimi, plus regional models), with up to 8 running in parallel per prompt on Pro and above. Suprmind uses 5 frontier models \u2014 GPT, Claude, Gemini, Grok, Perplexity Sonar \u2014 chosen as the strongest available from each provider, all running in every conversation on paid tiers. Different trade-off: KongXLM gets breadth across open-weight and regional models, Suprmind gets sustained collaboration where each frontier model reads what the others said.\n                <\/p>\n<\/details>\n<details style=\"padding: 24px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<summary style=\"font-size: 18px; font-weight: 600; color: #fff; cursor: pointer;\">Is KongXLM cheaper than Suprmind?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    On the entry unlimited tier, yes \u2014 KongXLM Pro is $29\/month versus Suprmind Pro at $45\/month. KongXLM&#8217;s Oracle tier is $99\/month and adds the OMNiEYE Prediction Engine and the Oracle stack; Suprmind&#8217;s Frontier tier is $95\/month and adds Master Project plus full mode access. Suprmind also offers Spark at $4\/month, which is below KongXLM&#8217;s $0 Starter once you exceed the 5-runs-per-day Starter limit. Pick by tier match: $29 vs $45 for unlimited day-to-day; $99 vs $95 for the top consumer tier.\n                <\/p>\n<\/details>\n<details style=\"padding: 24px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<summary style=\"font-size: 18px; font-weight: 600; color: #fff; cursor: pointer;\">What does Suprmind offer that KongXLM doesn&#8217;t?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    Five orchestration modes KongXLM doesn&#8217;t have (Sequential, Debate, Red Team, First Principles, Research Symphony), the Decision Validation Engine that produces a GO\/NO-GO verdict with a risk register, an Adjudicator that writes an independent decision brief from the full conversation, the Master Document Generator with 25+ professional templates (Investment Memo, Executive Brief, SWOT, Legal Brief, Research Paper, etc.), Smart Visualizations auto-embedded in PDF\/DOCX exports, and the Project Knowledge Graph. KongXLM gives you breadth of models; Suprmind gives you structured deliberation and decision deliverables on top.\n                <\/p>\n<\/details>\n<details style=\"padding: 24px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<summary style=\"font-size: 18px; font-weight: 600; color: #fff; cursor: pointer;\">Is switching from KongXLM to Suprmind difficult?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    No. Anything you currently do on KongXLM \u2014 multi-model prompts, Council-style synthesis, Auto Route, web-augmented answers, file uploads, image gen \u2014 works on Suprmind without changes to your workflow. Re-upload your documents into a Suprmind Project (they store persistently and feed every model in the conversation), and your usage pattern carries over. The orchestration modes (Sequential, Debate, Red Team, First Principles) are optional additions, not required steps.\n                <\/p>\n<\/details>\n<details style=\"padding: 24px; border: 1px solid rgba(255,255,255,0.08); border-radius: 12px;\">\n<summary style=\"font-size: 18px; font-weight: 600; color: #fff; cursor: pointer;\">Can I use both KongXLM and Suprmind together?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    Yes. A reasonable stack uses KongXLM Oracle for the OMNiEYE Prediction Engine and live market signals when forecasting is the work product, and Suprmind for structured deliberation, decision validation, and exporting deliverables (memos, briefs, reports). Each platform plays to its sharpest claim \u2014 KongXLM for breadth and prediction, Suprmind for defensible decisions and Master Doc deliverables \u2014 and they don&#8217;t step on each other in a research workflow.\n                <\/p>\n<\/details><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- 14. FINAL CTA --><\/p>\n<section style=\"padding: 80px 48px; text-align: center;\">\n<div style=\"max-width: 700px; margin: 0 auto; border: 2px solid rgba(139, 92, 246, 0.3); border-radius: 12px; padding: 60px 48px; background: rgba(139, 92, 246, 0.05);\">\n<h2 style=\"font-size: 36px; font-weight: 600; margin: 0 0 16px 0; line-height: 1.2;\">Decision intelligence platform for professionals who can&#8217;t afford to be wrong.<\/h2>\n<p style=\"font-size: 18px; line-height: 1.7; color: #e5e7eb; margin: 0 0 12px 0;\">\n            Five frontier AIs, in the same conversation. They debate, challenge, and build on each other \u2014 you export the verdict as a deliverable.\n        <\/p>\n<p style=\"font-size: 18px; color: #a78bfa; font-style: italic; margin: 0 0 40px 0;\">\n            Disagreement is the feature.\n        <\/p>\n<p>        <a href=\"\/hub?page_id=3397\" style=\"display: inline-block; background: #fff; color: #05020b; padding: 18px 40px; border-radius: 8px; font-weight: 600; font-size: 18px; text-decoration: none;\">Check Pricing &amp; Register<\/a><\/p>\n<p style=\"margin-top: 16px; font-size: 14px; color: #9ca3af;\">Plans start at $4\/month<\/p>\n<\/p><\/div>\n<\/section>\n<p><!-- 15. BACK LINK --><\/p>\n<section style=\"padding: 0 48px 60px; text-align: center;\">\n    <a href=\"https:\/\/suprmind.ai\/hub\/comparison\/\" style=\"color: #9ca3af; text-decoration: none; font-size: 14px;\">\u2190 View All Comparisons<\/a><br \/>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Suprmind, KongXLM Alternative Updated May 2026 If KongXLM is what you&#8217;re using now, everything you depend on, Suprmind handles too: multi-model prompts across frontier providers (GPT, Claude, Gemini, Grok, Perplexity Sonar), Council-style parallel synthesis, smart auto-routing, web-augmented answers, file and vision attachments, project workspaces, image generation, and deep reasoning on demand. See Pricing &amp; Register [&hellip;]<\/p>\n","protected":false},"featured_media":2082,"template":"","meta":{"footnotes":""},"competitor_type":[],"class_list":["post-1943","competitor","type-competitor","status-publish","has-post-thumbnail","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 4.9.0 - aioseo.com -->\n\t<meta name=\"description\" content=\"Compare answers from 19 AI models side by side. Suprmind adds 6 orchestration modes plus decision validation. 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