# Anthropic Claude Opus 4.6 As of October 21, 2026, Anthropic Claude Opus 4.6 ranks #28 of 123 models overall with 66.0 ±9.1 on the LLMBenchmark Index. Claude Opus 4.6 ranks #23 of 133 in web design, its strongest category. Anthropic Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens. Claude Opus 4.6 was released on February 4, 2026. Page: https://llmbenchmark.ai/models/claude-opus-4-6 Data from October 21, 2026. Every figure below names the board it was read from and the day. - Maker: Anthropic - Released: February 4, 2026 - Price per million input tokens: $5.00 - Price per million output tokens: $25.00 - Context window: 1M tokens - Overall rank: 28 of 123, by the LLMBenchmark Index - LLMBenchmark Index: 66.0 ±9.1 (90% margin, from 6 of 7 inputs) - Artificial Analysis Intelligence Index: 31.9 - Vibe Coding Index: 57.2 (from 4 of 6 coding benchmarks) Benchmark results (110 of 195): - SWE-bench Verified: 75.6% (source: SWE-bench (swebench.com), read October 21, 2026) - SWE-bench Multilingual: 72.0% (source: SWE-bench (swebench.com), read October 21, 2026) - LMArena WebDev: 1547 Elo (source: LMArena WebDev, read October 21, 2026) - GPQA Diamond: 89.7% (source: GPQA (Vals AI), read October 21, 2026) - AIME: 95.6% (source: AIME (Vals AI), read October 21, 2026) - MMLU Pro: 89.1% (source: MMLU Pro (Vals AI), read October 21, 2026) - AA Intelligence Index: 31.9 (source: Artificial Analysis (via OpenRouter), read October 21, 2026) - Design Arena: websites: 1291 Elo (source: Design Arena, read October 21, 2026) - Design Arena: UI components: 1284 Elo (source: Design Arena, read October 21, 2026) - Design Arena: game dev: 1278 Elo (source: Design Arena, read October 21, 2026) - Design Arena: data viz: 1279 Elo (source: Design Arena, read October 21, 2026) - Design Arena: 3D: 1274 Elo (source: Design Arena, read October 21, 2026) - Design Arena: all code categories: 1289 Elo (source: Design Arena, read October 21, 2026) - Design Arena: SVG: 1228 Elo (source: Design Arena, read October 21, 2026) - Design Arena: ASCII art: 1255 Elo (source: Design Arena, read October 21, 2026) - Design Arena: agents building web apps: 1206 Elo (source: Design Arena, read October 21, 2026) - Design Arena: agents building full-stack apps: 1220 Elo (source: Design Arena, read October 21, 2026) - Design Arena: agents building mobile apps: 1207 Elo (source: Design Arena, read October 21, 2026) - Design Arena: agents building Android apps: 1196 Elo (source: Design Arena, read October 21, 2026) - Design Arena: agents building games: 1212 Elo (source: Design Arena, read October 21, 2026) - LiveCodeBench (Vals AI): 84.7% (source: Vals AI boards, read October 21, 2026) - SWE-bench Verified (Vals AI): 78.2% (source: Vals AI boards, read October 21, 2026) - Vibe Code Bench (Vals AI): 57.6% (source: Vals AI boards, read October 21, 2026) - MMMU Pro (Vals AI): 83.9% (source: Vals AI boards, read October 21, 2026) - SAGE (Vals AI): 51.6% (source: Vals AI boards, read October 21, 2026) - LegalBench (Vals AI): 85.3% (source: Vals AI boards, read October 21, 2026) - CaseLaw (Vals AI): 62.1% (source: Vals AI boards, read October 21, 2026) - CorpFin (Vals AI): 67.0% (source: Vals AI boards, read October 21, 2026) - TaxEval (Vals AI): 76.0% (source: Vals AI boards, read October 21, 2026) - MortgageTax (Vals AI): 68.5% (source: Vals AI boards, read October 21, 2026) - MedQA (Vals AI): 95.4% (source: Vals AI boards, read October 21, 2026) - MedCode (Vals AI): 49.1% (source: Vals AI boards, read October 21, 2026) - MedScribe (Vals AI): 86.7% (source: Vals AI boards, read October 21, 2026) - GPQA Diamond (Artificial Analysis run): 89.6% (source: Artificial Analysis, read October 21, 2026) - Humanity's Last Exam (Artificial Analysis run): 39.9% (source: Artificial Analysis, read October 21, 2026) - Terminal-Bench Hard (Artificial Analysis run): 48.5% (source: Artificial Analysis, read October 21, 2026) - IFBench: 53.1% (source: Artificial Analysis, read October 21, 2026) - Long context reasoning (AA-LCR): 78.0% (source: Artificial Analysis, read October 21, 2026) - τ²-Bench Telecom: 92.1% (source: Artificial Analysis, read October 21, 2026) - Terminal-Bench: 79.8% (source: Epoch AI benchmarking hub, read October 21, 2026) - FrontierCode: 26.6% (source: Epoch AI benchmarking hub, read October 21, 2026) - GSO-Bench: 41.2% (source: Epoch AI benchmarking hub, read October 21, 2026) - WeirdML: 78.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - APEX-Agents: 46.3% (source: Epoch AI benchmarking hub, read October 21, 2026) - METR time horizons: 78.9% (source: Epoch AI benchmarking hub, read October 21, 2026) - Remote Labor Index: 4.2% (source: Epoch AI benchmarking hub, read October 21, 2026) - DeepResearch Bench: 55.3% (source: Epoch AI benchmarking hub, read October 21, 2026) - GPQA Diamond (Epoch AI run): 90.5% (source: Epoch AI benchmarking hub, read October 21, 2026) - ARC-AGI: 94.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - ARC-AGI-2: 69.2% (source: Epoch AI benchmarking hub, read October 21, 2026) - SimpleBench: 67.6% (source: Epoch AI benchmarking hub, read October 21, 2026) - Chess puzzles: 21.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - Mystery game puzzles: 25.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - EBR-bench: 12.7% (source: Epoch AI benchmarking hub, read October 21, 2026) - OTIS Mock AIME: 94.4% (source: Epoch AI benchmarking hub, read October 21, 2026) - FrontierMath, tiers 1 to 3: 66.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - FrontierMath, tier 4: 26.8% (source: Epoch AI benchmarking hub, read October 21, 2026) - ProofBench: 50.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - SimpleQA Verified: 47.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - DTBench: 91.2% (source: Epoch AI benchmarking hub, read October 21, 2026) - LMCA: 55.8% (source: Epoch AI benchmarking hub, read October 21, 2026) - CL-bench: 20.7% (source: Epoch AI benchmarking hub, read October 21, 2026) - Furniture assembly: 28.3% (source: Epoch AI benchmarking hub, read October 21, 2026) - Cybench: 93.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - CL-bench Life: 17.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - Vending-Bench 2: $8,018 (source: Epoch AI benchmarking hub, read October 21, 2026) - Epoch Capabilities Index: 155.7 (source: Epoch AI benchmarking hub, read October 21, 2026) - LMArena Text: 1501 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: coding: 1534 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: hard prompts: 1525 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: math: 1518 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: instruction following: 1521 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: creative writing: 1505 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: 1316 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: English: 1511 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: non-English: 1488 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: Chinese: 1551 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: German: 1500 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: Japanese: 1488 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: Korean: 1464 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: French: 1512 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: Spanish: 1510 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: Russian: 1497 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: Polish: 1499 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: multi-turn: 1511 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: longer queries: 1518 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: expert: 1544 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: hard prompts in English: 1530 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: software and IT: 1527 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: mathematical work: 1525 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: science: 1519 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: medicine and healthcare: 1504 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: legal and government: 1512 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: business and finance: 1497 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: writing and language: 1502 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: entertainment and media: 1492 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena WebDev: React: 1539 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena WebDev: HTML: 1559 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena WebDev: from an image: 1543 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: English: 1324 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: Chinese: 1370 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: reading text: 1326 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: diagrams: 1340 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: homework: 1337 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: humor: 1314 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: recognizing things: 1274 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: creative writing: 1331 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Document: 1507 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - Kagi LLM Benchmark: 83.6% (source: Kagi LLM Benchmarking Project, read October 21, 2026) - FACTS Benchmark Suite: 41.5% (source: Kaggle Benchmarks, read October 21, 2026)