{"id":3677,"date":"2026-05-03T03:05:25","date_gmt":"2026-05-03T03:05:25","guid":{"rendered":"https:\/\/suprmind.ai\/hub\/?post_type=competitor&#038;p=3677"},"modified":"2026-05-03T19:01:57","modified_gmt":"2026-05-03T19:01:57","slug":"sup-ai-alternative","status":"publish","type":"competitor","link":"https:\/\/suprmind.ai\/hub\/comparison\/sup-ai-alternative\/","title":{"rendered":"Sup AI Alternative"},"content":{"rendered":"<section style=\"padding: 80px 48px 40px; 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, Sup AI Alternative<\/h1>\n<p style=\"font-size: 16px; color: #9ca3af; margin: 0;\">Updated May 2026<\/p>\n<\/section>\n<p><!-- 2. INTRO CARD \u2014 Similarity-First 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            Sup AI and Suprmind both run your questions through multiple frontier AI models. Both cross-check answers across providers before delivering them. Both let you upload documents and get answers grounded in your own files. Both ship inline citations so you can verify every claim.\n        <\/p>\n<p style=\"font-size: 18px; line-height: 1.7; color: #e5e7eb; margin: 0 0 24px 0;\">\n            <strong style=\"color: #fff;\">If Sup AI is what you&#8217;re using now, everything you depend on, Suprmind handles too:<\/strong> multi-model verification across frontier providers (GPT, Claude, Gemini, Grok, Perplexity Sonar), document upload with grounded answers, web search, project workspaces, persistent memory, mobile and desktop access.\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 verification. 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 risk register. Project Knowledge Graph that auto-extracts entities and decisions across conversations. Flat $4\u201395\/month subscription pricing instead of credit-burn math.\n            <\/p>\n<\/p><\/div>\n<p style=\"font-size: 16px; line-height: 1.7; color: #9ca3af; margin: 24px 0 0 0;\">\n            Sup AI does accuracy scoring well \u2014 chunk-level logprob with retry is genuinely strong, and the published HLE benchmark (52.15%, with caveats) is more transparency than most competitors offer. If pure single-question accuracy on discrete factual lookups is your only requirement, it earns its place. For most professional workflows, the orchestration modes and document deliverables make Suprmind the better fit.\n        <\/p>\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: 36px; font-weight: 600; margin: 0 0 16px 0; line-height: 1.2; text-align: center;\">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. <br \/>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. 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;\">Sup AI<\/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 query<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">Up to 9 (from 348-model library)<\/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;\">Verification approach<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">Chunk-level confidence scoring<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">DCI tracking + Adjudicator review<\/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;\">Confidence thresholds (Fast \/ Thinking \/ Deep \/ Expert)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">Six 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;\">Document export<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">Chat output + inline citations<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">Master Doc Generator (25+ pro formats)<\/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 model<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">Credit packs ($20\u2013$200\/mo, never expire)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">Flat subscription ($4\u2013$95\/mo)<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- 5. WHAT IS SUP AI? --><\/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 Sup AI?<\/h2>\n<p style=\"font-size: 18px; line-height: 1.7; color: #e5e7eb; margin: 0 0 32px 0;\">\n            Sup AI is an ensemble accuracy platform launched in early 2025. It runs queries through up to 348 models in parallel, scores every chunk of every response for confidence, retries low-confidence chunks automatically, and synthesizes a final answer. The pitch is a single output that&#8217;s more accurate than any individual model produced.\n        <\/p>\n<p>        <!-- Recent Updates Alert --><\/p>\n<div style=\"background: rgba(234, 179, 8, 0.1); border: 1px solid rgba(234, 179, 8, 0.3); border-radius: 8px; padding: 20px 24px; margin-bottom: 32px;\">\n<p style=\"font-size: 14px; font-weight: 600; color: #eab308; margin: 0 0 8px 0;\">NOTABLE BENCHMARK CLAIM (December 2025)<\/p>\n<p style=\"font-size: 15px; color: #e5e7eb; margin: 0;\">\n                Sup AI reported 52.15% accuracy on Humanity&#8217;s Last Exam \u2014 roughly 7 percentage points ahead of the strongest individual model in their ensemble. The result is a self-conducted independent evaluation on ~55% of the public HLE question set. It&#8217;s not officially endorsed by the Center for AI Safety or Scale AI. Treat the number as informative, not certified.\n            <\/p>\n<\/p><\/div>\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;\">Sup AI 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>Fast Mode<\/strong> \u2013 55% confidence threshold, optimized for speed<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Thinking Mode<\/strong> \u2013 70% threshold, moderate complexity<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Deep Thinking<\/strong> \u2013 80% threshold, complex analysis<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Expert Mode<\/strong> \u2013 9-model ensemble, 90% threshold<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb;\"><strong>Auto Orchestration<\/strong> \u2013 orchestrator picks the mode by query complexity<\/li>\n<\/ul>\n<p style=\"font-size: 13px; color: #9ca3af; margin: 16px 0 0 0; font-style: italic;\">No named modes for debate, red team, sequential reasoning, or structured 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> Sup Ai Inc.<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Filed:<\/strong> California, June 2025<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Public launch:<\/strong> January 2025<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>HQ:<\/strong> California (Palos Verdes Estates per CA filing)<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb; border-bottom: 1px solid rgba(255,255,255,0.04);\"><strong>Funding:<\/strong> Not publicly disclosed<\/li>\n<li style=\"padding: 8px 0; color: #e5e7eb;\"><strong>Models:<\/strong> 348 supported, up to 9 in parallel ensemble<\/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;\">Sup AI<\/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 348 models, up to 9 parallel<\/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;\">Cross-Model Verification<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 Chunk-level logprob scoring<\/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 Upload<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 Up to 10 GB<\/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 Search<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 Yes<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e;\">\u2713 Native 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;\">Inline Citations<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e;\">\u2713 With page numbers<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #22c55e;\">\u2713 Source-attributed synthesis<\/div>\n<\/p><\/div>\n<p>            <!-- Suprmind Exclusive --><\/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 Exclusive<\/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<\/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 with reasoning<\/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;\">Project Workspaces + Knowledge Graph<\/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 Auto-extracted entities, cross-thread memory<\/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 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<p>            <!-- Sup AI 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;\">Sup AI 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;\">Model Library Size<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 348 models, 50+ providers<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #9ca3af;\">5 frontier models (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;\">Published Benchmark<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 HLE 52.15% (self-evaluated)<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #9ca3af;\">No public benchmark published<\/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;\">Chunk-Level Confidence Scoring<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 Logprob retry on low confidence<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #9ca3af;\">Different approach (DCI + Adjudicator)<\/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;\">Document Upload Volume<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 10 GB<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #9ca3af;\">5\u2013150 files\/project; max 9 MB\/file<\/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;\">OpenAI-Compatible API<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #22c55e; font-weight: 500;\">\u2713 api.sup.ai<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #9ca3af;\">Web\/PWA only currently<\/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;\">$10 starter credits + 32 free models<\/div>\n<div class=\"sm-cmp-cell-us\" style=\"text-align: center; color: #fff; font-weight: 500;\">7-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 Tier<\/div>\n<div class=\"sm-cmp-cell-them\" style=\"text-align: center; color: #9ca3af;\">$20\/mo (Plus, $26 credits)<\/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;\">$100\/mo (Pro, $130 credits)<\/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;\">$200\/mo (Super, $260 credits)<\/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;\">Not publicly disclosed<\/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 Verified 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 Sup AI. 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 Sup AI 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                    Multiple frontier models verify in parallel<br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    Chunk-level confidence scoring + retry<br \/>\n                    &nbsp;&nbsp;\u2193<br \/>\n                    <strong style=\"color: #fff;\">You get: A high-confidence verified answer<\/strong>\n                <\/div>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 16px 0 0 0;\">Strong for single-question accuracy. Genuinely well-engineered.<\/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                    Multiple frontier models verify in parallel<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 high-confidence verified answer<\/strong><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;\">Sup AI:<\/strong> &#8220;The most accurate AI in existence.&#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 Verified 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;\">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 verified 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 verified 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: #22c55e; margin: 0 0 12px 0;\">Unique to Suprmind<\/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 in the conversation. Adjudicator reads the full thread, weighs the evidence, and produces an independent decision brief.<\/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;\">Project Knowledge Graph<\/h3>\n<p style=\"font-size: 15px; color: #9ca3af; margin: 0;\">Automatically extracts entities, decisions, and relationships across conversations within a project. Master Project extends this across your entire workspace.<\/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: Sequential \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 (Tier 1 only) --><\/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;\">DEEP DIVE<\/p>\n<h2 style=\"font-size: 28px; font-weight: 600; margin: 0 0 24px 0;\">Beyond Accuracy: Why Decisions Need More<\/h2>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 0 0 24px 0;\">\n            Sup AI&#8217;s chunk-level confidence scoring is genuinely impressive. If your job is to get the most accurate single answer to a discrete factual question, it works.\n        <\/p>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 0 0 32px 0;\">\n            But most professional decisions don&#8217;t fail because the answer was inaccurate. They fail because the answer was accurate <em>under one set of assumptions<\/em> \u2014 and nobody stress-tested those assumptions before signing off. That&#8217;s a different problem, and accuracy scoring doesn&#8217;t solve it.\n        <\/p>\n<div style=\"border: 1px solid rgba(255,255,255,0.08); border-radius: 12px; overflow: hidden;\">\n<div style=\"background: rgba(255,255,255,0.04); padding: 16px 24px; border-bottom: 1px solid rgba(255,255,255,0.08);\">\n                <strong style=\"color: #fff;\">The Decision Validation Engine \u2014 what comes after accuracy:<\/strong>\n            <\/div>\n<div style=\"padding: 24px;\">\n<ol style=\"margin: 0; padding-left: 24px; color: #e5e7eb; line-height: 1.9;\">\n<li><strong style=\"color: #fff;\">Frame the decision.<\/strong> What&#8217;s actually being decided? What&#8217;s reversible, what&#8217;s not?<\/li>\n<li><strong style=\"color: #fff;\">Surface assumptions.<\/strong> What must be true for this to work? Where&#8217;s the asymmetric risk?<\/li>\n<li><strong style=\"color: #fff;\">Stress test.<\/strong> Run Red Team: 4 attack vectors against the proposed answer.<\/li>\n<li><strong style=\"color: #fff;\">Build risk register.<\/strong> Catalog everything that could go wrong, FMEA-style.<\/li>\n<li><strong style=\"color: #fff;\">Adjudicator review.<\/strong> Independent synthesis weighing all evidence and DCI history.<\/li>\n<li><strong style=\"color: #fff;\">Final verdict.<\/strong> GO \/ NO-GO \/ GO-WITH-CONDITIONS, exported as Master Doc.<\/li>\n<\/ol><\/div>\n<\/p><\/div>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 24px 0 0 0;\"><strong>Best for:<\/strong> Investment decisions, regulatory submissions, strategic pivots, vendor selection, M&#038;A, anything where being defensibly right matters more than being individually accurate.<\/p>\n<\/p><\/div>\n<\/section>\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;\">Different Pricing Models, Different Math<\/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                Sup AI is pure pay-as-you-go: credits never expire, but every query consumes them. Heavy users at the Super tier ($200\/month, $260 in credits) burn through credits fast \u2014 frontier-ensemble queries cost meaningful money each.<\/p>\n<p>                Suprmind is flat-rate subscription: <strong style=\"color: #fff;\">$45\/month at Pro, $95\/month at Frontier.<\/strong> No credit anxiety. No per-query math. Six modes, full Master Doc Generator, Project Knowledge Graph, all included.\n            <\/p>\n<\/p><\/div>\n<p style=\"font-size: 16px; line-height: 1.7; color: #9ca3af; margin: 0; text-align: center;\">\n            For occasional research questions: Sup AI&#8217;s free tier (32 free models, $10 starter credits) is genuinely useful.<\/p>\n<p>            For professional workflows producing 5+ deliverables per month: Suprmind&#8217;s flat $45 beats credit math every time.<\/p>\n<p>            A consultant billing $200\/hour saves 2\u20133 hours per research project with Research Symphony + Master Documents.<br \/>That&#8217;s $400\u2013600 of value from a single Pro subscription.\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 Sup AI 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>Pure single-question accuracy on discrete factual lookups is your primary requirement<\/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&#8217;re integrating multi-model accuracy via OpenAI-compatible API rather than UI<\/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>Your usage is sporadic, making credit-pack pricing more economical than a flat subscription<\/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>Benchmark scoring (HLE, MMLU) matters as a procurement signal for your stakeholders<\/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 need access to non-frontier specialty models (Sup AI&#8217;s 348-model library)<\/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 verified answer, 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)<\/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 beyond getting the answer right<\/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 (Red Team, Debate, First Principles) as part of your 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: #22c55e; font-weight: 600;\">+<\/span><br \/>\n                        <span>Cross-thread project memory and 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>Flat subscription pricing fits your usage better than credit-burn math<\/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)<\/span>\n                    <\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- 12. CATEGORY CONTEXT \u2014 OMITTED FOR SUP AI\n     (Section appears only on BoodleBox and Pelidum MPAC, where buyer is genuinely orthogonal.\n     Sup AI'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;\">Sup AI 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 Sup AI does on accuracy?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    Yes \u2014 Suprmind&#8217;s 5 frontier models (GPT, Claude, Gemini, Grok, Perplexity Sonar) cover the same accuracy ground as Sup AI&#8217;s parallel ensemble. Both detect cross-model disagreement; Sup AI uses chunk-level logprob scoring, Suprmind uses DCI tracking plus Adjudicator review. Where Sup AI publishes a self-conducted HLE benchmark (52.15%, ~55% of question set, with caveats noted), Suprmind hasn&#8217;t yet \u2014 but the underlying multi-model verification produces comparable accuracy. The differences come after the verified answer, not before it.\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 the same multi-model verification Sup AI does?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    Yes. Both platforms verify answers across multiple frontier AI models before delivering them. Sup AI runs a parallel ensemble (up to 9 models on Expert tier) with chunk-level confidence scoring and automatic retry. Suprmind runs all 5 frontier models with DCI (Disagreement\/Correction Index) tracking every disagreement and correction across the conversation, plus an Adjudicator that produces an independent decision brief. Different mechanisms, same goal: catching errors a single model would miss.\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 get the same kind of cited answers on Suprmind that I get on Sup AI?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    Yes. Both platforms ground answers in your uploaded documents and surface inline citations with page numbers. Suprmind adds source-attributed synthesis (which model claimed which fact) and a Document Intelligence Pipeline for structured extraction. Where Suprmind goes further: any cited answer can be exported as a Master Doc in 25+ professional formats (Investment Memo, Legal Brief, Research Paper, etc.) with citations preserved. Sup AI keeps the citations in chat output.\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 Suprmind cheaper than Sup AI?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    Depends on your usage. Sup AI is credit-based: $20\/month gets you $26 in credits, $100\/month gets $130, $200\/month gets $260. Credits never expire but they are consumed per query, with frontier-ensemble queries costing more. Suprmind is flat: $4\/month Spark, $45\/month Pro, $95\/month Frontier. For sporadic usage, Sup AI&#8217;s free tier (32 free models plus $10 starter credits) is hard to beat on cost. For consistent professional usage producing multiple deliverables per week, Suprmind&#8217;s flat rate is typically cheaper than burning through credits.\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                    Sup AI claims a 348-model library from 50+ providers, with up to 9 running in parallel on the Expert tier. 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. The trade-off is breadth versus depth: Sup AI gets statistical diversity from a large ensemble; Suprmind gets sustained collaboration where each frontier model reads what the others said and builds on it across multi-turn workflows.\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 support project workspaces and document upload like Sup AI?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    Yes, with extensions. Both platforms support document upload with grounded answers and citations \u2014 Sup AI offers up to 10GB uploads with a &#8220;Perfect Memory&#8221; feature where uploaded documents become permanent knowledge, plus 8-level progressive context compaction. Suprmind has Projects (5\u2013150 files by tier with 5\u20139MB per file), an automatic Project Knowledge Graph that extracts entities and decisions across conversations, and Master Project for cross-workspace queries (Frontier+). Different storage architecture, same core capability of working with your own files.\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 move my Sup AI workflow to Suprmind?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    Yes. Anything you currently do on Sup AI \u2014 multi-model verification, document upload with citations, web search, Q&amp;A \u2014 works on Suprmind without changes to your workflow. Re-upload your documents (Suprmind&#8217;s Project workspaces store them persistently), and your usage pattern carries over. The orchestration modes (Sequential, Super Mind, Debate, Red Team, etc.) are optional additions, not required steps. Most users start with Super Mind (parallel synthesis, similar to Sup AI&#8217;s ensemble) and add other modes as workflows demand.\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 Sup AI and Suprmind together?<\/summary>\n<p style=\"font-size: 16px; line-height: 1.7; color: #e5e7eb; margin: 16px 0 0 0;\">\n                    Yes \u2014 they can complement each other. A research workflow might use Sup AI&#8217;s API for high-accuracy fact retrieval on specific factual lookups, then run the findings through Suprmind for structured deliberation, document generation, and decision validation. Some users do exactly this. Most find Suprmind&#8217;s web search and citation grounding cover their factual needs natively without needing a second tool, but for specific cases where benchmark-grade accuracy on a discrete question matters most, Sup AI is a defensible second tool in the stack.\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=\"https:\/\/suprmind.ai\/hub\/pricing\/\" 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>            Sup AI and Suprmind both run questions through multiple AI models. That puts them in a different league than ChatGPT or Claude on their own \u2014 both platforms cross-check answers across providers before delivering them.<\/p>\n","protected":false},"featured_media":2082,"template":"","meta":{"footnotes":""},"competitor_type":[777],"class_list":["post-3677","competitor","type-competitor","status-publish","has-post-thumbnail","hentry","competitor_type-multi-model-ai-platform"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 4.9.0 - aioseo.com -->\n\t<meta name=\"description\" content=\"Sup AI and Suprmind both run questions through multiple AI models. 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