{"id":5140,"date":"2026-05-07T22:12:02","date_gmt":"2026-05-07T22:12:02","guid":{"rendered":"https:\/\/suprmind.ai\/hub\/claude\/"},"modified":"2026-05-07T22:12:02","modified_gmt":"2026-05-07T22:12:02","slug":"claude","status":"publish","type":"page","link":"https:\/\/suprmind.ai\/hub\/claude\/","title":{"rendered":"Claude AI: Complete Guide to Models, Features, Pricing, and Benchmarks (2026)"},"content":{"rendered":"<div style=\"padding-top: 40px;\">\n<section class=\"hero\">\n<div class=\"hero-content\">\n<div class=\"hero-label\">Claude AI 2026 Guide<\/div>\n<h1>Claude AI: Complete Guide to Models, Features, Pricing, and Benchmarks (2026)<\/h1>\n<p class=\"hero-subtitle\" style=\"padding-top: 30px;\">Claude is a family of AI assistants developed by Anthropic, a US AI safety company founded in 2021 by former OpenAI researchers. As of May 2026, the publicly available flagship is Claude Opus 4.7, released April 16, 2026, with a 1 million token input context window, 128,000 token output, native text and image processing, and an Adaptive Reasoning architecture that allocates internal compute dynamically based on problem complexity. The product is distributed via claude.ai, iOS and Android apps, dedicated macOS and Windows desktop apps, the Anthropic API, and managed platforms (Amazon Bedrock, Google Cloud Vertex AI, Microsoft Azure AI Foundry).<\/p>\n<\/p><\/div>\n<\/section>\n<section style=\"padding: 100px 48px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">The defining claim about Claude in 2026 is calibration over coverage. Claude Opus 4.7 holds the second-highest Omniscience Index of any current model (26, behind only Gemini 3.1 Pro&#8217;s 33), achieved through a refusal-when-uncertain architecture rather than maximized answer rates. Per the Suprmind Multi-Model Divergence Index, April 2026 Edition (n=1,324 production turns), Claude&#8217;s confidence-contradicted rate drops from 33.9% on all turns to 26.4% on high-stakes turns &#8211; a -7.5 point calibration delta no other tested provider matches. Claude slows down measurably when consequences are real; others do not.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">This page covers what Claude is, the full active and deprecated model lineup, what each tier costs and which model you actually get on it, the feature set as it stands in May 2026, the benchmark picture (where Claude leads, where it lags, what to read into the gaps between vendor and independent measurements), the hallucination patterns that should shape how you use it, what production multi-model data shows about Claude relative to its peers, the active controversies, and the questions people most often search for. Numbers are dated. The product changes weekly. Where a claim is volatile, it is flagged.<\/p>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 0 0 32px;\">See also: <a href=\"https:\/\/suprmind.ai\/hub\/multi-model-ai-divergence-index\/\" style=\"color: #8b5cf6;\">Suprmind Multi-Model Divergence Index \u2192<\/a><\/p>\n<\/p><\/div>\n<\/section>\n<section style=\"padding: 100px 48px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<h2>What Claude Is<\/h2>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Claude is a conversational AI product developed by Anthropic that uses the Claude Opus 4.7 language model as of April 2026 to answer questions, generate text and code, analyze documents, control web browsers and operating systems, and complete multi-step agentic tasks. The product is distinct from the underlying Claude model family that powers it &#8211; the same models can be accessed directly through the Anthropic API at platform.claude.com, on Amazon Bedrock, on Google Vertex AI, and on Microsoft Azure AI Foundry at different pricing.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Anthropic was co-founded in 2021 by Dario Amodei (CEO) and Daniela Amodei (President) along with seven other former OpenAI employees. The company is structured as a Delaware Public Benefit Corporation. As of early 2026, annualized revenue reached approximately $14B and a $30B Series G round closed February 11, 2026 at a $380B post-money valuation. A subsequent round at $850-900B+ valuation was reported as actively closing in late April 2026 (TechCrunch, 2026-04-29, not confirmed closed).<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Claude vs the Anthropic API<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">claude.ai is the consumer and prosumer product. The Anthropic API (platform.claude.com, formerly console.anthropic.com) is the developer surface. Both run on Claude models, but the experience and cost structure are different. claude.ai offers Free, Pro, Max 5x, Max 20x, Team Standard, Team Premium, and Enterprise tiers with bundled access to features like Projects, Artifacts, Memory, Computer Use, Skills, MCP, and Microsoft 365 integration. The API exposes raw model endpoints with metered per-token pricing, no chat UI, and developer-controlled feature use.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Claude vs Claude Opus 4.7 &#8211; Are They the Same?<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">No. Claude Opus 4.7 is one underlying model. claude.ai is the product that routes your query to Claude Opus 4.7, Claude Sonnet 4.6, or Claude Haiku 4.5 depending on tier and prompt complexity. Claude Sonnet 4.6 is the default model on Free and Pro plans as of February 2026. Opus 4.7 is available with limits on Pro and without limits on Max, Team, and Enterprise. The model selector dropdown surfaces the tier-available choices, but claude.ai does not show a per-message indicator of which dated snapshot processed a given query &#8211; this is a documented user pain point. Developers using API calls receive the pinned snapshot in response metadata.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">A separately announced Claude Mythos Preview (2026-04-07) sits above Opus 4.7 in capability but remains invitation-only through Project Glasswing, a cybersecurity research initiative. Mythos posts the highest benchmark scores of any Claude model at the time of writing &#8211; SWE-bench Verified 93.9%, GPQA Diamond 94.6%, CyberGym 83.1% &#8211; but is not available on claude.ai or the standard API.<\/p>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 0 0 32px;\">See also: <a href=\"https:\/\/suprmind.ai\/hub\/multi-model-ai-divergence-index\/\" style=\"color: #8b5cf6;\">Suprmind Multi-Model Divergence Index \u2192<\/a><\/p>\n<\/p><\/div>\n<\/section>\n<section style=\"padding: 100px 48px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<h2>All Claude Models \u2014 Current and Deprecated (2026)<\/h2>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Anthropic deploys Claude across three concurrent capability tiers &#8211; Opus (highest capability), Sonnet (balanced), and Haiku (fast and economical) &#8211; with multiple generations active simultaneously. Architecture remains fully proprietary. Anthropic has not publicly confirmed parameter counts, layer counts, or whether any Claude model uses a Mixture-of-Experts configuration. Multiple third-party sources describe the architecture as a dense transformer.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Below is the active and deprecated picture as of May 2026. Variants and dates are taken from Anthropic&#8217;s official model catalog at platform.claude.com\/docs\/en\/about-claude\/models and confirmed against independent tracking. This table changes frequently &#8211; check the source URL for the current list.<\/p>\n<\/p><\/div>\n<div class=\"suprmind-model-matrix\" style=\"background:#05020B;color:#fafafa;font-family:'Satoshi',-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,'Helvetica Neue',Arial,sans-serif;padding:32px 24px;border:1px solid #27272a;border-radius:12px;margin:32px 0;overflow-x:auto;\">\n<h3 style=\"font-size:22px;margin:0 0 8px 0;color:#fafafa;\">Active Claude Models (May 2026)<\/h3>\n<p style=\"font-size:14px;color:#a1a1aa;margin:0 0 20px 0;\">Source: platform.claude.com &#8211; last verified 2026-05-07<\/p>\n<div style=\"display:flex;flex-wrap:wrap;gap:16px;\">\n<div style=\"flex:1 1 calc(50% - 8px);min-width:280px;background:#141414;border:1px solid #27272a;border-radius:8px;padding:20px;box-sizing:border-box;\">\n<div style=\"font-size:14px;color:#a1a1aa;margin-bottom:4px;\">Current Flagship<\/div>\n<div style=\"font-size:18px;color:#fafafa;font-weight:600;margin-bottom:12px;\">Claude Opus 4.7<\/div>\n<ul style=\"font-size:16px;line-height:1.7;color:#fafafa;padding-left:18px;margin:0;\">\n<li>Released 2026-04-16<\/li>\n<li>1M token context, 128K output<\/li>\n<li>Multimodal in: text, image (vision to 2,576px)<\/li>\n<li>API: $5.00 \/ $25.00 per 1M tokens; cached read $0.50<\/li>\n<\/ul><\/div>\n<div style=\"flex:1 1 calc(50% - 8px);min-width:280px;background:#141414;border:1px solid #27272a;border-radius:8px;padding:20px;box-sizing:border-box;\">\n<div style=\"font-size:14px;color:#a1a1aa;margin-bottom:4px;\">Default for Free + Pro<\/div>\n<div style=\"font-size:18px;color:#fafafa;font-weight:600;margin-bottom:12px;\">Claude Sonnet 4.6<\/div>\n<ul style=\"font-size:16px;line-height:1.7;color:#fafafa;padding-left:18px;margin:0;\">\n<li>Released 2026-02-17<\/li>\n<li>1M token context, 128K output (300K via Batch)<\/li>\n<li>API: $3.00 \/ $15.00 per 1M tokens<\/li>\n<li>Default model for Free and Pro claude.ai users<\/li>\n<\/ul><\/div>\n<div style=\"flex:1 1 calc(50% - 8px);min-width:280px;background:#141414;border:1px solid #27272a;border-radius:8px;padding:20px;box-sizing:border-box;\">\n<div style=\"font-size:14px;color:#a1a1aa;margin-bottom:4px;\">Fast and Economical<\/div>\n<div style=\"font-size:18px;color:#fafafa;font-weight:600;margin-bottom:12px;\">Claude Haiku 4.5<\/div>\n<ul style=\"font-size:16px;line-height:1.7;color:#fafafa;padding-left:18px;margin:0;\">\n<li>Released 2025-10-15<\/li>\n<li>200K context \/ 64K output<\/li>\n<li>API: $1.00 \/ $5.00 per 1M tokens<\/li>\n<li>Near-frontier coding at small-tier price (SWE-bench 73.3%)<\/li>\n<\/ul><\/div>\n<div style=\"flex:1 1 calc(50% - 8px);min-width:280px;background:#141414;border:1px solid #27272a;border-radius:8px;padding:20px;box-sizing:border-box;\">\n<div style=\"font-size:14px;color:#a1a1aa;margin-bottom:4px;\">Prior Opus, still active<\/div>\n<div style=\"font-size:18px;color:#fafafa;font-weight:600;margin-bottom:12px;\">Claude Opus 4.6<\/div>\n<ul style=\"font-size:16px;line-height:1.7;color:#fafafa;padding-left:18px;margin:0;\">\n<li>Released 2026-02-05<\/li>\n<li>1M context (the generation that introduced 1M at standard pricing)<\/li>\n<li>API: $5.00 \/ $25.00 per 1M tokens<\/li>\n<li>67% price reduction from Opus 4.1&#8217;s $15\/$75<\/li>\n<\/ul><\/div>\n<div style=\"flex:1 1 calc(50% - 8px);min-width:280px;background:#141414;border:1px solid #27272a;border-radius:8px;padding:20px;box-sizing:border-box;\">\n<div style=\"font-size:14px;color:#a1a1aa;margin-bottom:4px;\">Cybersecurity Preview<\/div>\n<div style=\"font-size:18px;color:#fafafa;font-weight:600;margin-bottom:12px;\">Claude Mythos Preview<\/div>\n<ul style=\"font-size:16px;line-height:1.7;color:#fafafa;padding-left:18px;margin:0;\">\n<li>Announced 2026-04-07<\/li>\n<li>Invitation-only (Project Glasswing)<\/li>\n<li>SWE-bench Verified 93.9%, GPQA Diamond 94.6%, CyberGym 83.1%<\/li>\n<li>Internal codename: &#8220;Capybara&#8221; (per March 2026 source leak)<\/li>\n<\/ul><\/div>\n<div style=\"flex:1 1 calc(50% - 8px);min-width:280px;background:#141414;border:1px solid #27272a;border-radius:8px;padding:20px;box-sizing:border-box;\">\n<div style=\"font-size:14px;color:#a1a1aa;margin-bottom:4px;\">Legacy Generation<\/div>\n<div style=\"font-size:18px;color:#fafafa;font-weight:600;margin-bottom:12px;\">Claude 3.x and Earlier<\/div>\n<ul style=\"font-size:16px;line-height:1.7;color:#fafafa;padding-left:18px;margin:0;\">\n<li>Claude 3 Opus, Sonnet, Haiku: legacy on pricing page<\/li>\n<li>Claude 3.5 Sonnet (v1, v2), 3.5 Haiku: supported\/legacy<\/li>\n<li>Claude 3.7 Sonnet (2025-02-24): introduced Extended Thinking<\/li>\n<li>Claude 1, 2, 2.1, Instant 1.2: fully deprecated<\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/div>\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Claude 4 Generation: Opus 4.7, Opus 4.6, Sonnet 4.6, Haiku 4.5<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\"><strong>Claude Opus 4.7 (2026-04-16)<\/strong> is the current flagship. It introduced the <code>xhigh<\/code> effort level for Adaptive Reasoning (between <code>high<\/code> and <code>max<\/code>), raised the Computer Use vision input ceiling to 2,576 pixels on the long edge (from approximately 850 pixels prior), and deployed a new tokenizer where the same input maps to 1.0-1.35x more tokens depending on content type. SWE-bench Verified 87.6%, SWE-bench Pro 64.3% (current industry high), GPQA Diamond 94.2%, MCP-Atlas 77.3%, OSWorld 78%. Reliable knowledge cutoff: January 2026. Manual Extended Thinking via <code>budget_tokens<\/code> is deprecated for Opus 4.7 and later; attempting it returns a 400 error. Pricing $5\/$25 per million input\/output tokens, unchanged from Opus 4.6.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\"><strong>Claude Opus 4.6 (2026-02-05)<\/strong> is the generation that first delivered a 1 million token context window at standard pricing &#8211; eliminating the long-context surcharge that had existed across the AI industry. The Opus 4.6 launch also dropped the Opus tier price 67% (from Opus 4.1&#8217;s $15\/$75 to $5\/$25 per million tokens), the largest single-generation Opus price reduction recorded. Claude Opus 4.6 became the first AI model to hold #1 across all three LMArena arenas (Text 1503-1504, Code 1560, Search 1255) on February 26, 2026.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\"><strong>Claude Sonnet 4.6 (2026-02-17)<\/strong> became the default model for Free and Pro claude.ai users at launch. 1M context (initially beta, generally available March 2026), $3\/$15 pricing, 128K output (300K via Batch with the <code>output-300k-2026-03-24<\/code> beta header). On the harder Vectara new dataset, Sonnet 4.6 scored 10.6% hallucination &#8211; below GPT-5.2-high&#8217;s 10.8% on the same benchmark. AA-Omniscience hallucination approximately 38% (less than half GPT-5.2&#8217;s ~78%). Reliable knowledge cutoff: August 2025; training data cutoff: January 2026.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\"><strong>Claude Haiku 4.5 (2025-10-15)<\/strong> is Anthropic&#8217;s current small\/fast model with near-frontier coding performance. 200K context, 64K output, $1\/$5 pricing. SWE-bench 73.3% with extended thinking (averaged over 50 trials), AA-Omniscience hallucination 25% &#8211; the best Haiku-tier hallucination result in the cohort. Released under ASL-2 safety classification (Sonnet 4.5 and Opus 4.1 are ASL-3).<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Claude 3.x and Earlier (Historical Context)<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Claude 3.7 Sonnet (2025-02-24) was the first Claude model with hybrid reasoning &#8211; capable of near-instant responses or visible step-by-step Extended Thinking with a developer-controlled <code>budget_tokens<\/code> parameter. It scored 4.4% on the Vectara old summarization benchmark (factual consistency 95.6%) and 70.3% on SWE-bench Verified with Extended Thinking. The 3.5 Sonnet (v1, v2) and 3.5 Haiku models remain active per platform docs as of 2026-05-07, flagged as supported\/legacy. Claude 3 Opus, Sonnet, and Haiku are listed as legacy on Anthropic&#8217;s pricing page. Claude 1, 2, 2.1, and Instant 1.2 are fully deprecated. Claude Opus 4.1 has an AWS Bedrock end-of-life date of 2026-05-31.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">What Model Am I Using? Tier-to-Model Mapping<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">This is the single most-asked question in Claude documentation, and Anthropic&#8217;s UI does not surface a per-message indicator of which exact model snapshot processed a given query. As of May 2026:<\/p>\n<\/p><\/div>\n<div class=\"comparison-table comparison-table-4\" style=\"max-width: 1100px; margin: 0 auto 32px;\">\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Tier<\/div>\n<div class=\"comparison-value\">Default Model<\/div>\n<div class=\"comparison-value\">Opus Access<\/div>\n<div class=\"comparison-value\">Extended Thinking<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Free ($0)<\/div>\n<div class=\"comparison-value\">Claude Sonnet 4.6<\/div>\n<div class=\"comparison-value\">No<\/div>\n<div class=\"comparison-value\">Limited<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Pro ($20\/mo)<\/div>\n<div class=\"comparison-value\">Claude Sonnet 4.6<\/div>\n<div class=\"comparison-value\">Limited<\/div>\n<div class=\"comparison-value\">Yes (Sonnet)<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Max 5x ($100\/mo)<\/div>\n<div class=\"comparison-value\">Sonnet 4.6<\/div>\n<div class=\"comparison-value\">Yes (Opus 4.7)<\/div>\n<div class=\"comparison-value\">Yes<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Max 20x ($200\/mo)<\/div>\n<div class=\"comparison-value\">Sonnet 4.6<\/div>\n<div class=\"comparison-value\">Yes (Opus 4.7, extended compute)<\/div>\n<div class=\"comparison-value\">Yes<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Team Standard ($25\/seat\/mo)<\/div>\n<div class=\"comparison-value\">Sonnet 4.6<\/div>\n<div class=\"comparison-value\">Limited<\/div>\n<div class=\"comparison-value\">Yes<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Team Premium ($125\/seat\/mo)<\/div>\n<div class=\"comparison-value\">Sonnet 4.6<\/div>\n<div class=\"comparison-value\">Yes<\/div>\n<div class=\"comparison-value\">Yes<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Enterprise (custom)<\/div>\n<div class=\"comparison-value\">Full suite<\/div>\n<div class=\"comparison-value\">Yes<\/div>\n<div class=\"comparison-value\">Yes<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">The model selector dropdown shows the available choice. The system prompt is technically accessible via probing (the Claude Opus 4.6 system prompt was extracted and published to GitHub on 2026-02-05). The persistent UI does not surface the dated snapshot. Default-model transitions (such as the Sonnet 4.5 to Sonnet 4.6 switch in February 2026) are announced via Anthropic newsroom but not via in-product notification for existing users.<\/p>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 0 0 32px;\">See also: <a href=\"\/hub\/claude\/pricing\/\" style=\"color: #8b5cf6;\">Claude pricing details \u2192<\/a><\/p>\n<\/p><\/div>\n<\/section>\n<section style=\"padding: 100px 48px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<h2>Claude Features: What Each One Does<\/h2>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Anthropic ships features across a coherent claude.ai web interface, native iOS and Android apps, macOS and Windows desktop apps, and developer-facing surfaces (Anthropic API, Claude Code CLI, MCP). The platform reached major feature parity by April 2026 across all paid tiers, with feature gates focused on usage volume rather than feature exclusivity.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Adaptive Reasoning vs Extended Thinking<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Extended Thinking, introduced with Claude 3.7 Sonnet (2025-02-24), forces Claude to generate a visible chain-of-thought trace before answering. The developer sets a <code>budget_tokens<\/code> parameter to control reasoning compute. Adaptive Reasoning (also called Adaptive Thinking), introduced with the 4.6 generation in February 2026, replaces this paradigm. Claude evaluates problem complexity internally and allocates reasoning compute dynamically. The developer specifies an effort level (<code>standard<\/code>, <code>high<\/code>, <code>xhigh<\/code>, <code>max<\/code>) rather than a token budget. At <code>high<\/code> effort, Claude almost always thinks before responding. At lower effort levels, Claude may skip thinking for simple problems. The <code>xhigh<\/code> level introduced with Opus 4.7 sits between <code>high<\/code> and <code>max<\/code> and provides additional compute for hard tasks without committing to maximum spend. Adaptive Reasoning automatically enables Interleaved Thinking &#8211; reasoning between tool calls &#8211; which makes it structurally better suited for agentic workflows than the prior paradigm. Manual Extended Thinking via <code>budget_tokens<\/code> is deprecated for Opus 4.7 and later; attempting it returns a 400 error.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Projects and Artifacts<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Projects create isolated workspaces where users upload reference documents and system instructions that persist across conversations. Claude performs retrieval-based reasoning over project content &#8211; relevant sections are pulled into active context rather than loading the entire project at once. Project content is cached and does not count against per-message usage limits. Per-chat file upload caps at 20 files maximum, 30 MB each, regardless of tier. Enterprise plan chat context expands to 500K tokens; all other plans use 200K tokens in chat (1M tokens on API for Opus and Sonnet 4.6+). Projects launched September 2024 and expanded context 10x in June 2025.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Artifacts is Claude&#8217;s output format for code, documents, diagrams, and interactive content that can be rendered, edited, and exported directly from the conversation interface. When Claude generates substantial standalone content &#8211; code, HTML, SVG, Mermaid diagrams, React components, formatted Markdown &#8211; a side panel opens with a live preview. Users can iterate on artifacts, share them publicly, or (on Team and Enterprise) share within organizational boundaries. Artifacts launched in preview June 2024 and reached general availability across all tiers on August 26, 2024. As of April 2026, Artifacts ships on all paid plans and inside Projects.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Claude Code<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Claude Code is Anthropic&#8217;s terminal-first agentic coding tool, generally available since 2025-05-22. It runs Claude as an autonomous coding agent that searches code, edits files, runs tests, and commits to GitHub. Native integrations include VS Code and JetBrains extensions (edits appear inline in files), GitHub PR tagging, and a Claude Code SDK for building custom agents. Claude Opus 4.7 raised the default effort level to <code>xhigh<\/code> for all plans at launch and introduced Task Budgets (public beta) for guiding token spend across longer agentic runs. The April 2026 launch also introduced the <code>\/ultrareview<\/code> command for dedicated review sessions and a multi-session sidebar.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">The Pro tier ($20\/month) inclusion of Claude Code is volatile and contested as of 2026-05-07. The current anthropic.com\/pricing page lists &#8220;Includes Claude Code&#8221; under Pro; an independent changelog tracker (scriptbyai.com, April 2026) states Anthropic removed Claude Code from Pro in April 2026. Conflict unresolved &#8211; verify directly at anthropic.com\/pricing. Max plans include Claude Code, Enterprise includes Claude Code, and API access via the Claude Code SDK is uniformly available.<\/p>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 0 0 32px;\">See also: <a href=\"\/hub\/claude\/features\/\" style=\"color: #8b5cf6;\">Claude Code features and pricing \u2192<\/a><\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Computer Use<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Computer Use was originally released as beta with Claude 3.5 Sonnet on 2024-10-22, expanded across Claude 3.7 and Claude 4 generations, and reached general availability on claude.ai in March 2026. Developers provide Claude with computer use tools and a user prompt via the Messages API. Claude assesses the task and constructs tool use requests; the developer runs actions in a sandboxed virtual machine with X11\/Xvfb display, lightweight desktop environment, and pre-installed applications. Default loop iteration cap is 10 (developer-adjustable). Claude Opus 4.7 significantly improved Computer Use reliability via high-resolution image support, achieving 98.5% on XBOW&#8217;s visual-acuity benchmark vs 54.5% for Opus 4.6, and 78% on OSWorld &#8211; tied with GPT-5.5 at 78.7%.<\/p>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 0 0 32px;\">See also: <a href=\"\/hub\/claude\/features\/\" style=\"color: #8b5cf6;\">Computer Use feature details \u2192<\/a><\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Memory and Cowork<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Memory operates in two modes. Chat memory derives summaries of past conversations and carries them across sessions, viewable and editable at Settings \u2192 Capabilities \u2192 Memory. File-system memory for agentic use writes to a <code>\/memory<\/code> folder, read at session start, with optional auto-memory mode that lets Claude decide what to store. Opus 4.7 specifically improved file-system memory reliability for long multi-session agentic work. Chat memory shipped to Team and Enterprise plans in September 2025 and to Free in March 2026. The August 2025 data policy change extended conversation data retention to 5 years for users not opted out of training; this is distinct from active memory retention.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Claude Cowork launched in research preview January 2026 and reached general availability across all paid plans in April 2026. Cowork grants Claude access to a user-specified folder on the local computer; Claude can read, edit, and create files autonomously, supporting multi-step task execution and sub-agent coordination for parallelizable work. Initial launch was macOS-only.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">MCP and Integrations<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">MCP (Model Context Protocol) is an open standard Anthropic designed to allow Claude to connect to external tools, data sources, and services via a standardized interface. Third-party MCP servers exist for Notion, Zapier, GitHub, and major IDE tools. Claude Opus 4.7 scores 77.3% on MCP-Atlas, leading GPT-5.4 by 9.2 points and Gemini 3.1 Pro (73.9%) by 3.4 points, indicating strong real-world tool-orchestration performance.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Claude in Excel launched as a beta research preview in October 2025, providing workbook understanding with cell-level citations for explanations and the ability to update assumptions while preserving formulas. Claude for Word launched in April 2026 (Pro and Max). Claude for Microsoft 365 (Outlook, broader 365 surfaces) is included on Pro, Max, Team, and Enterprise. Free tier does not include Microsoft 365 integration.<\/p>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 0 0 32px;\">See also: <a href=\"\/hub\/claude\/features\/\" style=\"color: #8b5cf6;\">Custom GPTs deep guide \u2192<\/a><\/p>\n<\/p><\/div>\n<\/section>\n<section style=\"padding: 100px 48px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<h2>Claude Benchmarks and Accuracy<\/h2>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Benchmarks tell different stories depending on what they measure. Claude leads on autonomous multi-file coding (SWE-bench Pro), agentic tool use (MCP-Atlas), tool-enabled HLE, and calibration metrics. It trails on raw knowledge breadth (AA-Omniscience accuracy), multimodal coverage (no audio or video input), and ARC-AGI-2. Both directions are real signals of different qualities.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Benchmark Scores &#8211; Current Flagships<\/h3>\n<\/p><\/div>\n<div class=\"comparison-table comparison-table-5\" style=\"max-width: 1100px; margin: 0 auto 32px;\">\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Benchmark<\/div>\n<div class=\"comparison-value\">Claude Opus 4.7<\/div>\n<div class=\"comparison-value\">GPT-5.5 \/ 5.4<\/div>\n<div class=\"comparison-value\">Gemini 3.1 Pro<\/div>\n<div class=\"comparison-value\">Date Verified<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">SWE-bench Verified<\/div>\n<div class=\"comparison-value\">87.6%<\/div>\n<div class=\"comparison-value\">not publicly confirmed for 5.5<\/div>\n<div class=\"comparison-value\">80.6%<\/div>\n<div class=\"comparison-value\">2026-04-16<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">SWE-bench Pro<\/div>\n<div class=\"comparison-value\">64.3% (industry high)<\/div>\n<div class=\"comparison-value\">GPT-5.4: 57.7%<\/div>\n<div class=\"comparison-value\">not reported<\/div>\n<div class=\"comparison-value\">2026-04-16<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">GPQA Diamond<\/div>\n<div class=\"comparison-value\">94.2%<\/div>\n<div class=\"comparison-value\">GPT-5.4: 94.4%<\/div>\n<div class=\"comparison-value\">94.3%<\/div>\n<div class=\"comparison-value\">2026-04-16<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">AA Intelligence Index<\/div>\n<div class=\"comparison-value\">57 (3-way tie)<\/div>\n<div class=\"comparison-value\">GPT-5.4: 57<\/div>\n<div class=\"comparison-value\">57<\/div>\n<div class=\"comparison-value\">2026-04-16<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">HLE (no tools)<\/div>\n<div class=\"comparison-value\">39.6%<\/div>\n<div class=\"comparison-value\">not reported<\/div>\n<div class=\"comparison-value\">44.7%<\/div>\n<div class=\"comparison-value\">2026-05-05<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">HLE (with tools)<\/div>\n<div class=\"comparison-value\">54.7% (1st)<\/div>\n<div class=\"comparison-value\">not reported<\/div>\n<div class=\"comparison-value\">51.4%<\/div>\n<div class=\"comparison-value\">2026-04-16<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">LMArena Elo (Text)<\/div>\n<div class=\"comparison-value\">1504<\/div>\n<div class=\"comparison-value\">~1482<\/div>\n<div class=\"comparison-value\">~1493<\/div>\n<div class=\"comparison-value\">2026-04-21<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">OSWorld (Computer Use)<\/div>\n<div class=\"comparison-value\">78%<\/div>\n<div class=\"comparison-value\">GPT-5.5: 78.7%<\/div>\n<div class=\"comparison-value\">not published<\/div>\n<div class=\"comparison-value\">2026-04-16<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">CursorBench<\/div>\n<div class=\"comparison-value\">70% (first model >70%)<\/div>\n<div class=\"comparison-value\">not publicly disclosed<\/div>\n<div class=\"comparison-value\">not reported<\/div>\n<div class=\"comparison-value\">2026-04-16<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">MCP-Atlas<\/div>\n<div class=\"comparison-value\">77.3%<\/div>\n<div class=\"comparison-value\">GPT-5.4: 68.1%<\/div>\n<div class=\"comparison-value\">73.9%<\/div>\n<div class=\"comparison-value\">2026-04-16<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Finance Agent<\/div>\n<div class=\"comparison-value\">64.4%<\/div>\n<div class=\"comparison-value\">not publicly disclosed<\/div>\n<div class=\"comparison-value\">59.7%<\/div>\n<div class=\"comparison-value\">2026-04-16<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">BrowseComp<\/div>\n<div class=\"comparison-value\">79.3%<\/div>\n<div class=\"comparison-value\">not publicly disclosed<\/div>\n<div class=\"comparison-value\">85.9%<\/div>\n<div class=\"comparison-value\">2026-04-16<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">ARC-AGI-2<\/div>\n<div class=\"comparison-value\">Opus 4.6: 68.8%<\/div>\n<div class=\"comparison-value\">not reported<\/div>\n<div class=\"comparison-value\">77.1%<\/div>\n<div class=\"comparison-value\">2026-02<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">AA-Omniscience Accuracy<\/div>\n<div class=\"comparison-value\">~47%<\/div>\n<div class=\"comparison-value\">not reported<\/div>\n<div class=\"comparison-value\">55.3%<\/div>\n<div class=\"comparison-value\">2026-04<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">AA-Omniscience Hallucination<\/div>\n<div class=\"comparison-value\">36%<\/div>\n<div class=\"comparison-value\">GPT-5.5: 86%<\/div>\n<div class=\"comparison-value\">50%<\/div>\n<div class=\"comparison-value\">2026-04<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">AA-Omniscience Index<\/div>\n<div class=\"comparison-value\">26 (2nd overall)<\/div>\n<div class=\"comparison-value\">GPT-5.5: 20<\/div>\n<div class=\"comparison-value\">33<\/div>\n<div class=\"comparison-value\">2026-04<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Sources: Vellum AI, 2026-04-15; Suprmind Hallucination Rates, 2026-04-26; pricepertoken.com; DataCamp, 2026-04-26; ofox.ai. Last verified 2026-05-07.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">A note on methodology: AIME 2025 has effectively saturated at the frontier (multiple models score >99%) and is no longer differentiating; treat AIME advantages with skepticism. The harder Vectara new-dataset reports reasoning models exceed 10% hallucination because they &#8220;overthink&#8221; summarization, deviating from source material &#8211; so raw Vectara comparisons across reasoning and non-reasoning models are misleading without context. CursorBench is operated by Cursor, a significant Claude distribution partner; no independent replication has been found. The Claude Opus 4.7 MRCR v2 regression to 32.2% on 1M context (down from Opus 4.6&#8217;s 78.3%) is attributed by Anthropic to intentional error-reporting behavior when information is missing rather than fabricating answers; independent verification of the mechanism is thin.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Claude Hallucination Rates<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Claude&#8217;s hallucination profile is the central differentiator from peer models. According to Suprmind&#8217;s AI Hallucination Rates and Benchmarks reference (May 2026 update), Claude 4.1 Opus achieves a 0% AA-Omniscience hallucination rate by mathematically declining uncertain queries &#8211; the lowest of any model tested at any scale. Claude Opus 4.7 holds AA-Omniscience hallucination at 36% (Index 26, second-highest overall behind Gemini 3.1 Pro&#8217;s 33), 50 percentage points lower than GPT-5.5&#8217;s 86% on the same benchmark. Claude Opus 4.5 with web search scored 30% on HalluHard &#8211; the lowest of any model on the realistic-conversation hallucination benchmark.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">The Claude pattern is calibration-by-refusal: Claude declines to answer more often than peers and hallucinates less when it does answer. This produces both the lowest hallucination rates and lower raw accuracy (~47% AA-Omniscience accuracy vs Gemini 3.1 Pro&#8217;s 55.3%). Reasoning models including the 4.5 and 4.6 generations exceed 10% on Vectara&#8217;s harder summarization dataset due to documented &#8220;overthinking&#8221; &#8211; reasoning that deviates from source material. This is not a capability claim about Claude&#8217;s correctness; it is a consistency claim about Claude&#8217;s calibration.<\/p>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 0 0 32px;\">See also: <a href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/\" style=\"color: #8b5cf6;\">Claude&#8217;s hallucination rates across benchmarks \u2192<\/a><\/p>\n<\/p><\/div>\n<\/section>\n<section style=\"padding: 100px 48px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<h2>What Makes Claude Different \u2014 The Calibration Advantage<\/h2>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Academic benchmarks rank Claude Opus 4.7 in a three-way tie at the frontier (AA Intelligence Index 57). Production multi-model data tells a more specific story, and that story is the most useful one for picking AI tools for actual work.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Per the <a href=\"https:\/\/suprmind.ai\/hub\/multi-model-ai-divergence-index\/\" style=\"color: #8b5cf6;\">Suprmind Multi-Model Divergence Index<\/a> (April 2026 Edition, n=1,324 production turns), Claude&#8217;s confidence-contradicted rate drops from 33.9% on all turns to 26.4% on high-stakes turns &#8211; a -7.5 point calibration delta. No other provider tested shows a delta steeper than -3.4 points (ChatGPT\/GPT). This is the single most defensible empirical distinction for Claude in a multi-model context. Claude slows down measurably when consequences are real; others do not.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">How Claude Performs in Multi-Model Contexts<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Catch ratio measures corrections made divided by times caught. A ratio above 1.0 means a model corrects others more than it gets corrected. Per the Suprmind Multi-Model Divergence Index, the April 2026 edition spread was: Perplexity 2.54, Claude 2.25, Grok 0.72, ChatGPT 0.38, Gemini 0.26. Claude made 304 corrections and was caught 135 times &#8211; the second-highest catch ratio of five providers. Combined with Perplexity (catch ratio 2.54), the two providers account for 60.7% of all corrections in the study. This positions Claude as a verification-layer model rather than a sole oracle.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Unique insights followed the same pattern. Claude generated 631 unique insights (24.5% share, second only to Perplexity&#8217;s 636\/24.7%) with 268 rated critical-severity (severity \u22657 on a 10-point scale). For reference, ChatGPT contributed 339 (13.2% share, 85 critical), making Claude approximately 3.15x more productive on critical-severity unique insights than ChatGPT in the same dataset. Claude is the second-best engine for novel insight generation in a multi-model ensemble.<\/p>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 0 0 32px;\">See also: <a href=\"https:\/\/suprmind.ai\/hub\/multi-model-ai-divergence-index\/\" style=\"color: #8b5cf6;\">AI catch ratio data \u2192<\/a><\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Where Claude Has Limitations<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Three documented limitations shape when Claude alone is the wrong tool.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">First, broad knowledge retrieval. Claude Opus 4.7&#8217;s AA-Omniscience accuracy of approximately 47% trails Gemini 3.1 Pro&#8217;s 55.3% by an 8-point gap. This is the direct cost of refusal-by-design &#8211; Claude answers fewer questions correctly in total though more correctly as a proportion of what it does answer. Users who need maximum breadth over maximum precision should pair Claude with a higher-coverage model.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Second, multimodal inputs. Claude accepts only text and image. Audio and video inputs are not supported. Gemini 3 Pro&#8217;s FACTS multi-dimensional factuality score of 68.8 versus Claude Opus 4.5&#8217;s 51.3 (a 17-point deficit) is partly structural &#8211; FACTS measures ingestion across modalities Claude cannot read.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Third, self-consistency in iterative research. Per the Suprmind Multi-Model Divergence Index (April 2026), Claude vs Claude is the top combative pair in the ResearchAnalysis domain &#8211; 10 contradictions across 74 turns, a 13.5% intra-model contradiction rate. The Claude-vs-Claude pattern is the single most important orchestration signal for users deploying Claude on iterative research workflows. Cross-checking against itself or peers reduces the volatility.<\/p>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 0 0 32px;\">See also: <a href=\"\/hub\/claude\/vs-other-ai\/\" style=\"color: #8b5cf6;\">Claude vs ChatGPT vs Gemini comparison \u2192<\/a><\/p>\n<\/p><\/div>\n<\/section>\n<section style=\"padding: 100px 48px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<h2>Claude Pricing \u2014 Free, Pro, Max, Team, Enterprise<\/h2>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Anthropic operates a seven-tier consumer and business pricing structure. Two volatile elements are documented as of May 2026: the inclusion status of Claude Code in Pro (anthropic.com\/pricing lists it; an independent changelog states it was removed in April 2026), and the message-volume caps per tier (described as &#8220;usage limits apply&#8221; or a &#8220;conversation budget&#8221; without specific counts).<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Subscription Tier Comparison<\/h3>\n<\/p><\/div>\n<div class=\"comparison-table comparison-table-5\" style=\"max-width: 1100px; margin: 0 auto 32px;\">\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Tier<\/div>\n<div class=\"comparison-value\">Monthly Cost<\/div>\n<div class=\"comparison-value\">Annual Cost<\/div>\n<div class=\"comparison-value\">Underlying Models<\/div>\n<div class=\"comparison-value\">Hard Limits<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">**Free**<\/div>\n<div class=\"comparison-value\">$0<\/div>\n<div class=\"comparison-value\">$0<\/div>\n<div class=\"comparison-value\">Sonnet 4.6 (default); Haiku 4.5 limited<\/div>\n<div class=\"comparison-value\">Conversation budget unspecified; no Claude Code; no Research mode; memory available; some web connector access<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">**Pro**<\/div>\n<div class=\"comparison-value\">$20\/mo<\/div>\n<div class=\"comparison-value\">$17\/mo ($204\/yr)<\/div>\n<div class=\"comparison-value\">Sonnet 4.6 default; Opus 4.7 limited; Haiku 4.5<\/div>\n<div class=\"comparison-value\">Claude Code (status conflicting); Research mode; unlimited Projects; Microsoft 365 integration; voice mode<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">**Max 5x**<\/div>\n<div class=\"comparison-value\">$100\/mo<\/div>\n<div class=\"comparison-value\">not publicly disclosed<\/div>\n<div class=\"comparison-value\">Same as Pro plus early access<\/div>\n<div class=\"comparison-value\">5x more usage than Pro; higher output limits; priority access at high traffic<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">**Max 20x**<\/div>\n<div class=\"comparison-value\">$200\/mo<\/div>\n<div class=\"comparison-value\">not publicly disclosed<\/div>\n<div class=\"comparison-value\">Same as Max 5x<\/div>\n<div class=\"comparison-value\">20x more usage than Pro<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">**Team Standard**<\/div>\n<div class=\"comparison-value\">$25\/seat\/mo<\/div>\n<div class=\"comparison-value\">$20\/seat\/mo<\/div>\n<div class=\"comparison-value\">Same as Pro plus enterprise features<\/div>\n<div class=\"comparison-value\">Min 5 seats, max 150; SSO; central billing; admin controls; no model training by default<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">**Team Premium**<\/div>\n<div class=\"comparison-value\">$125\/seat\/mo<\/div>\n<div class=\"comparison-value\">$100\/seat\/mo<\/div>\n<div class=\"comparison-value\">Same as Team Standard<\/div>\n<div class=\"comparison-value\">5x usage of Standard seats<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">**Enterprise**<\/div>\n<div class=\"comparison-value\">$20+\/seat + API<\/div>\n<div class=\"comparison-value\">Annual only<\/div>\n<div class=\"comparison-value\">Full model suite<\/div>\n<div class=\"comparison-value\">SCIM, audit logs, compliance API, custom data retention, HIPAA-ready (beta); IP allowlisting; 500K context window on some models<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Source: anthropic.com\/pricing, accessed 2026-05-07.<\/p>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 0 0 32px;\">See also: <a href=\"\/hub\/claude\/pricing\/\" style=\"color: #8b5cf6;\">Claude pricing details \u2192<\/a><\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">API Pricing for Developers and Enterprise<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">API pricing for the current generation models is metered per million tokens with separate input, cached input write, cached input read, and output rates.<\/p>\n<\/p><\/div>\n<div class=\"comparison-table comparison-table-5\" style=\"max-width: 1100px; margin: 0 auto 32px;\">\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Model<\/div>\n<div class=\"comparison-value\">Input $\/1M<\/div>\n<div class=\"comparison-value\">Cached Write<\/div>\n<div class=\"comparison-value\">Cached Read<\/div>\n<div class=\"comparison-value\">Output $\/1M<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Claude Opus 4.7<\/div>\n<div class=\"comparison-value\">$5.00<\/div>\n<div class=\"comparison-value\">$6.25<\/div>\n<div class=\"comparison-value\">$0.50<\/div>\n<div class=\"comparison-value\">$25.00<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Claude Sonnet 4.6<\/div>\n<div class=\"comparison-value\">$3.00<\/div>\n<div class=\"comparison-value\">$3.75<\/div>\n<div class=\"comparison-value\">$0.30<\/div>\n<div class=\"comparison-value\">$15.00<\/div>\n<\/p><\/div>\n<div class=\"comparison-row\">\n<div class=\"comparison-feature\">Claude Haiku 4.5<\/div>\n<div class=\"comparison-value\">$1.00<\/div>\n<div class=\"comparison-value\">$1.25<\/div>\n<div class=\"comparison-value\">$0.10<\/div>\n<div class=\"comparison-value\">$5.00<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Source: anthropic.com\/pricing, accessed 2026-05-07.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Additional API-level charges: Managed Agents at $0.08 per session-hour active runtime; Web Search at $10 per 1,000 searches; Code Execution free for the first 50 hours per day per organization, then $0.05 per hour per container; US-only inference at 1.1x input and output pricing; prompt caching with 5-minute default TTL (extended TTL available). Batch API: 50% discount on all models, supporting up to 10,000 queries for async processing in under 24 hours.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Recent Pricing Changes (2025-2026)<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">The most significant pricing event in Claude&#8217;s API history was the 67% Opus price reduction at Opus 4.6 launch (2026-02-05): from $15\/$75 per million tokens (Opus 4.1) to $5\/$25 per million tokens (Opus 4.6 onward). The 1M token context window also became standard at no surcharge starting with Opus 4.6 and Sonnet 4.6. Claude Opus 4.7 maintained the new $5\/$25 pricing. Claude Opus 4.1 has an AWS Bedrock end-of-life date of 2026-05-31, retiring the prior $15\/$75 Opus tier from the active product line.<\/p>\n<\/p><\/div>\n<\/section>\n<section style=\"padding: 100px 48px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<h2>Claude Controversies and Known Issues<\/h2>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Anthropic faced more frequent regulatory and engineering controversies in early 2026 than any other AI lab, driven by safety-first commitments creating direct conflicts with high-profile customers and by performance regressions in Claude Code becoming community focal points.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">The Pentagon Refusal and Department of War Lawsuit (February-March 2026)<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">On 2026-02-26, Anthropic publicly refused a Department of Defense contract clause that would have permitted &#8220;any lawful use&#8221; of Claude including fully autonomous weapons targeting and domestic surveillance of Americans without judicial oversight. CEO Dario Amodei stated the company &#8220;cannot in good conscience accede.&#8221; The Pentagon designated Anthropic a &#8220;supply-chain risk to national security&#8221; &#8211; the first such designation ever applied to an American company. President Trump issued an executive order on 2026-02-27\/28 banning U.S. government use of Claude. The Department of War deployed Claude against Iran less than 24 hours after the ban. Anthropic filed suit on 2026-03-09 alleging government retaliation. The lawsuit was active as of research date.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">The architectural cause is significant: Claude&#8217;s January 2026 Constitutional AI framework contains explicit hard constraints against facilitating mass surveillance and autonomous lethal targeting without human oversight. These are model-level, not purely policy-level constraints, which means they cannot be overridden via system prompt configuration.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Claude Code Performance Regression (March-April 2026)<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">A widely covered &#8220;Claude got dumber&#8221; narrative emerged between March 4 and April 13, 2026. AMD Senior Director of AI Stella Laurenzo published forensic analysis of 6,852 Claude Code sessions (234,760 tool calls, 17,871 thinking blocks) showing a shift from research-first to edit-first behavior, rising stop-hook violations, and reduced reasoning depth. Anthropic published a full engineering postmortem on 2026-04-23 confirming three separate causes: (1) default reasoning effort changed from <code>high<\/code> to <code>medium<\/code> on 2026-03-04 (reverted 2026-04-07); (2) cache optimization bug clearing thinking history on every turn for stale sessions from 2026-03-26 (fixed 2026-04-10); (3) system prompt verbosity constraint on 2026-04-16 causing 3% eval drop (reverted 2026-04-20).<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">The &#8220;intentional degradation&#8221; accusation was unsubstantiated. All three causes were engineering decisions with legitimate rationales that had unforeseen interactions. Separately, a viral BridgeMind benchmark claiming a 15-point performance drop was based on n=6 tasks; an independent retest with n=30 showed negligible movement (87.6% to 85.4%). The real governance concern is the 6+ week delay between first change and public postmortem.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Data Policy and Training Opt-Out (August 2025)<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">On 2025-08-28, Anthropic reversed its prior policy of not training on consumer conversations. Free, Pro, and Max plan users&#8217; conversations and coding sessions became training data by default. Data retention extended from 30 days to 5 years unless users manually opted out by 2025-09-28; full enforcement began October 2025. Lawfare Media noted this represents a shift from explicit consent to legitimate interest under GDPR, raising compliance questions for European users. Enterprise and Team plans include contract-level data non-training provisions without per-user opt-out.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Constitutional AI and Refusal Patterns<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Anthropic published a new Claude Constitution on 2026-01-22 (approximately 84 pages, Creative Commons public domain), replacing the 2023 Constitutional AI approach. The framework shifts from rule-based prescriptions to reason-based alignment that explains why certain behaviors matter, aiming for generalization to novel situations. It establishes a 4-tier priority hierarchy: safety > ethics > guidelines > helpfulness. It formally acknowledges the possibility of Claude&#8217;s consciousness and moral status &#8211; the first such acknowledgment from a major AI lab. The Oxford AI Ethics blog noted this represents &#8220;two evaluative continua&#8221; rather than a fixed ruleset. Hard constraints include refusing to assist with autonomous lethal targeting without human oversight, mass surveillance without judicial oversight, CBRN weapons development, and content that would seize illegitimate societal control.<\/p>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 0 0 32px;\">See also: <a href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/\" style=\"color: #8b5cf6;\">ChatGPT hallucination by version \u2192<\/a><\/p>\n<\/p><\/div>\n<\/section>\n<section style=\"padding: 100px 48px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<h2>Claude in Enterprise \u2014 Adoption and Integrations<\/h2>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Claude&#8217;s enterprise penetration is the deepest of any frontier AI model family by deployment count, driven by Constitutional AI safety architecture meeting enterprise procurement requirements that pure-capability competitors fail.<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Enterprise Use Cases and Deployments<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">70% of Fortune 100 companies are Claude customers; 8 of the Fortune 10; over 500 customers spend more than $1M annually. Enterprise customers (300,000+ businesses) account for approximately 80% of Anthropic&#8217;s revenue. Customers spending over $100K annually grew 7x in the past year. Claude&#8217;s share of enterprise LLM spend reached approximately 40% by 2025, up from 12% two years prior. Annualized revenue grew approximately 10x in each of the past three years to $14B by early 2026.<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Notable deployments include Deloitte (470,000 employees globally on Claude), Cognizant (350,000 associates on Claude Code, broader Claude across functions), Thomson Reuters CoCounsel for legal research and document drafting (1M+ users), Lyft (customer support automation reducing support time over 87% with decision accuracy improved 30%), TELUS (tens of thousands of users, billions of tokens monthly), and Zapier (workflow automation at scale).<\/p>\n<h3 style=\"font-size: 24px; font-weight: 600; margin: 60px 0 24px;\">Platform Integrations (Bedrock, Vertex, GitHub Copilot, Cursor)<\/h3>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">The developer ecosystem includes 6,000+ apps with native Claude integration and 75+ enterprise workflow connectors. Notable integrations: Microsoft 365 (Excel, Word, Outlook), GitHub Copilot (Claude Sonnet 4 was the underlying model at launch), Cursor (CursorBench partnership), Slack, Notion (Notion Skills for Claude), Amazon Bedrock (all active models), Google Vertex AI (all active models), and Microsoft Azure AI Foundry (generally available for select models with EU inference &#8220;Coming 2026&#8221;). Heavy industry concentration in Legal (Thomson Reuters CoCounsel), Financial Services (Finance Agent benchmark lead), Professional Services (Deloitte, Cognizant), Software Engineering (GitHub Copilot, Cursor, IDE integrations), Telecom (TELUS), and Customer Support (Lyft 87% time reduction).<\/p>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Hardware and OS integrations: macOS desktop app (Cowork was macOS-only at January 2026 launch), Windows desktop app, iOS app, Android app, GitHub Copilot, Cursor, and a SpaceX compute partnership disclosed mid-2025 (terms not publicly confirmed).<\/p>\n<p style=\"font-size: 14px; color: #9ca3af; margin: 0 0 32px;\">See also: <a href=\"\/hub\/claude\/vs-other-ai\/\" style=\"color: #8b5cf6;\">Claude vs ChatGPT comparison \u2192<\/a><\/p>\n<\/p><\/div>\n<\/section>\n<section style=\"padding: 100px 48px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<h2>Sources<\/h2>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Authoritative sources consulted in compiling this guide. For maintenance, monitor the URLs noted in the JSON SSOT section.<\/p>\n<ul class=\"feature-list\" style=\"margin: 0 0 32px;\">\n<li><span class=\"check\"><\/span>Anthropic &#8211; anthropic.com (announcements, pricing, business pages)<\/li>\n<li><span class=\"check\"><\/span>Anthropic Help Center &#8211; support.claude.com (feature documentation)<\/li>\n<li><span class=\"check\"><\/span>Anthropic Platform &#8211; platform.claude.com (API docs, model catalog, deprecations)<\/li>\n<li><span class=\"check\"><\/span>Anthropic Status &#8211; status.claude.com (incidents)<\/li>\n<li><span class=\"check\"><\/span>Suprmind Multi-Model Divergence Index &#8211; suprmind.ai\/hub\/multi-model-ai-divergence-index\/ (production multi-model data)<\/li>\n<li><span class=\"check\"><\/span>Suprmind AI Hallucination Rates and Benchmarks &#8211; suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/ (canonical hallucination data)<\/li>\n<li><span class=\"check\"><\/span>Artificial Analysis &#8211; artificialanalysis.ai (AA Intelligence Index, AA-Omniscience)<\/li>\n<li><span class=\"check\"><\/span>LMArena &#8211; arena.ai\/leaderboard (user preference rankings)<\/li>\n<li><span class=\"check\"><\/span>Vellum AI &#8211; vellum.ai\/blog (Claude Opus 4.7 benchmarks)<\/li>\n<li><span class=\"check\"><\/span>DataCamp &#8211; datacamp.com (Claude vs Gemini coverage)<\/li>\n<li><span class=\"check\"><\/span>Reuters &#8211; reuters.com (DoW lawsuit coverage)<\/li>\n<li><span class=\"check\"><\/span>TechCrunch &#8211; techcrunch.com (Series H reporting, August 2025 data policy)<\/li>\n<li><span class=\"check\"><\/span>The Register &#8211; theregister.com (Claude Code regression coverage)<\/li>\n<li><span class=\"check\"><\/span>Bloomberg &#8211; bloomberg.com (Series G $30B coverage)<\/li>\n<li><span class=\"check\"><\/span>AP News, CNBC &#8211; Amazon $25B\/$33B investment coverage<\/li>\n<li><span class=\"check\"><\/span>Lawfare Media &#8211; lawfaremedia.org (Constitutional AI critiques)<\/li>\n<li><span class=\"check\"><\/span>BISI, Oxford AI Ethics &#8211; Constitution evaluations<\/li>\n<\/ul>\n<p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px;\">Last verified 2026-05-07.<\/p>\n<\/p><\/div>\n<\/section>\n<section id=\"faq\" aria-labelledby=\"faq-heading\" style=\"padding: 100px 48px; background: rgba(0,0,0,0.4);\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<p class=\"section-label\">FAQ<\/p>\n<h2 id=\"faq-heading\">Frequently Asked Questions<\/h2>\n<div class=\"faq-accordion\">\n<details class=\"faq-item\" open>\n<summary class=\"faq-question\">\n                        <span>What is Claude AI?<\/span><br \/>\n                        <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span><br \/>\n                    <\/summary>\n<p style=\"font-size: 16px;\">Claude is a family of AI assistants developed by Anthropic, a US safety-focused AI company founded in 2021 by former OpenAI researchers. The current flagship is Claude Opus 4.7, released April 16, 2026, with a 1M token context window and a 64.3% SWE-bench Pro score &#8211; the current industry high for autonomous coding. Claude is available via claude.ai, iOS, Android, desktop apps, the Anthropic API, Amazon Bedrock, and Google Vertex AI.<\/p>\n<\/details>\n<details class=\"faq-item\">\n<summary class=\"faq-question\">\n                        <span>Who made Claude?<\/span><br \/>\n                        <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span><br \/>\n                    <\/summary>\n<p style=\"font-size: 16px;\">Anthropic made Claude. Anthropic was co-founded in 2021 by Dario Amodei (CEO) and Daniela Amodei (President) along with seven other former OpenAI employees. As of early 2026, annualized revenue is approximately $14B and a $30B Series G round closed February 2026 at a $380B post-money valuation.<\/p>\n<\/details>\n<details class=\"faq-item\">\n<summary class=\"faq-question\">\n                        <span>What is the latest version of Claude?<\/span><br \/>\n                        <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span><br \/>\n                    <\/summary>\n<p style=\"font-size: 16px;\">As of May 2026, the publicly available flagship is Claude Opus 4.7 (released 2026-04-16), featuring a 1M token input context window, 128K token output, Adaptive Reasoning, and improved Computer Use. A separately announced Claude Mythos Preview (2026-04-07) sits above Opus 4.7 but remains invitation-only through Project Glasswing.<\/p>\n<\/details>\n<details class=\"faq-item\">\n<summary class=\"faq-question\">\n                        <span>Is Claude free to use?<\/span><br \/>\n                        <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span><br \/>\n                    <\/summary>\n<p style=\"font-size: 16px;\">Yes, but with limits. The Free tier provides access to Claude Sonnet 4.6 (default) and limited Haiku at unspecified usage caps described as &#8220;conversation budget.&#8221; Claude Code, Research mode, and full Opus access require paid tiers.<\/p>\n<\/details>\n<details class=\"faq-item\">\n<summary class=\"faq-question\">\n                        <span>Does Claude hallucinate?<\/span><br \/>\n                        <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span><br \/>\n                    <\/summary>\n<p style=\"font-size: 16px;\">Yes, but at significantly lower rates than peer models. Claude 4.1 Opus achieves a 0% AA-Omniscience hallucination rate by declining to answer when uncertain &#8211; the lowest of any model tested. Claude Opus 4.7 holds AA-Omniscience hallucination at 36%, 50 points lower than GPT-5.5&#8217;s 86% on the same benchmark, with an Omniscience Index of 26 (second-highest overall).<\/p>\n<\/details>\n<details class=\"faq-item\">\n<summary class=\"faq-question\">\n                        <span>Is Claude better than ChatGPT?<\/span><br \/>\n                        <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span><br \/>\n                    <\/summary>\n<p style=\"font-size: 16px;\">Depends on the task. Claude leads on autonomous multi-file coding (SWE-bench Pro 64.3% vs GPT-5.4&#8217;s 57.7%), hallucination calibration (AA-Omniscience 36% vs GPT-5.5&#8217;s 86%), long-context analysis, and professional-document synthesis. ChatGPT leads on image generation (Claude has none), plugin ecosystem breadth, voice mode, and raw speed on simple queries. Per the Suprmind Multi-Model Divergence Index (April 2026, n=1,324), Claude&#8217;s high-stakes confidence-contradiction rate of 26.4% is 9.8 points lower than ChatGPT&#8217;s 36.2%.<\/p>\n<\/details>\n<details class=\"faq-item\">\n<summary class=\"faq-question\">\n                        <span>Why does Claude refuse some requests?<\/span><br \/>\n                        <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span><br \/>\n                    <\/summary>\n<p style=\"font-size: 16px;\">Claude&#8217;s Constitutional AI framework establishes hard constraints: no assistance with autonomous lethal targeting without human oversight, no mass surveillance without judicial oversight, no CBRN weapons development, no assistance with seizing illegitimate societal control. These are model-level, not policy-level, constraints. Default refusals also cover explicit sexual content and detailed instructions for illegal activity; operators can configure these defaults within Anthropic&#8217;s usage policy.<\/p>\n<\/details>\n<details class=\"faq-item\">\n<summary class=\"faq-question\">\n                        <span>Why does Claude get worse at coding sometimes?<\/span><br \/>\n                        <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span><br \/>\n                    <\/summary>\n<p style=\"font-size: 16px;\">Three separate engineering changes degraded Claude Code performance between early March and mid-April 2026, all confirmed in Anthropic&#8217;s 2026-04-23 postmortem: default reasoning effort reduced from <code>high<\/code> to <code>medium<\/code> (reverted 2026-04-07); cache optimization bug clearing thinking history (fixed 2026-04-10); system prompt verbosity constraint causing 3% eval drop (reverted 2026-04-20). The &#8220;intentional degradation&#8221; accusation was unsubstantiated.<\/p>\n<\/details>\n<details class=\"faq-item\">\n<summary class=\"faq-question\">\n                        <span>What does &#8220;model overloaded&#8221; mean in Claude?<\/span><br \/>\n                        <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span><br \/>\n                    <\/summary>\n<p style=\"font-size: 16px;\">The Claude-specific 529 error code means Anthropic&#8217;s servers are at capacity, distinct from the generic 503. The largest documented incident was a 14-hour outage on March 2-3, 2026 affecting claude.ai and the mobile apps; the API remained largely functional. Workaround is exponential backoff starting at 1-2 seconds.<\/p>\n<\/details>\n<details class=\"faq-item\">\n<summary class=\"faq-question\">\n                        <span>Does Claude have open weights?<\/span><br \/>\n                        <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span><br \/>\n                    <\/summary>\n<p style=\"font-size: 16px;\">No. No Claude model has open weights. Anthropic does not publish model weights or allow self-hosted deployment. API and managed platform (AWS Bedrock, Google Vertex AI, Microsoft Azure AI Foundry) are the only access paths.<\/p>\n<\/details><\/div>\n<\/p><\/div>\n<\/section>\n<section style=\"padding: 100px 48px; text-align: center;\">\n<div style=\"max-width: 800px; margin: 0 auto;\">\n<h2 style=\"font-size: 36px; margin-bottom: 24px;\">Stop guessing. Start cross-checking.<\/h2>\n<p style=\"font-size: 18px; color: rgba(255,255,255,0.85); margin: 0 auto 40px; max-width: 700px;\">\n                Suprmind runs your prompt across ChatGPT, Claude, Gemini, Grok, and Perplexity in parallel. See where they agree, where they disagree, and which insights only one model surfaced \u2014 before you act.\n            <\/p>\n<div style=\"display: flex; gap: 16px; justify-content: center;\">\n                <a href=\"\/signup\/spark\" class=\"btn-white\">Start Your Free Trial<\/a><br \/>\n                <a href=\"https:\/\/suprmind.ai\/hub\/platform\/\" class=\"btn-outline\">See How It Works<\/a>\n            <\/div>\n<\/p><\/div>\n<\/section>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Claude AI 2026 Guide Claude AI: Complete Guide to Models, Features, Pricing, and Benchmarks (2026) Claude is a family of AI assistants developed by Anthropic, a US AI safety company founded in 2021 by former OpenAI researchers. As of May 2026, the publicly available flagship is Claude Opus 4.7, released April 16, 2026, with a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5140","page","type-page","status-publish","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 4.9.0 - aioseo.com -->\n\t<meta name=\"description\" content=\"Claude AI 2026 Guide Claude AI: Complete Guide to Models, Features, Pricing, and Benchmarks (2026) Claude is a family of AI assistants developed by Anthropic, a US AI safety company founded in 2021 by former OpenAI researchers. 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