# Anthropic Claude Opus 4.1 As of October 22, 2026, Anthropic Claude Opus 4.1 ranks #70 of 123 models overall with 50.2 ±15.4 on the LLMBenchmark Index. Claude Opus 4.1 ranks #81 of 133 in web design, its strongest category. Anthropic Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens. Claude Opus 4.1 was released on August 5, 2025. Page: https://llmbenchmark.ai/models/claude-opus-4-1 Data from October 22, 2026. Every figure below names the board it was read from and the day. - Maker: Anthropic - Released: August 5, 2025 - Price per million input tokens: $15.00 - Price per million output tokens: $75.00 - Context window: 200K tokens - Overall rank: 70 of 123, by the LLMBenchmark Index - LLMBenchmark Index: 50.2 ±15.4 (90% margin, from 3 of 7 inputs) - Artificial Analysis Intelligence Index: 22.8 - Vibe Coding Index: not enough data (one index benchmark; at least two are needed to rank) Benchmark results (73 of 195): - LMArena WebDev: 1390 Elo (source: LMArena WebDev, read October 22, 2026) - GPQA Diamond: 76.3% (source: GPQA (Vals AI), read October 22, 2026) - AIME: 78.2% (source: AIME (Vals AI), read October 22, 2026) - MMLU Pro: 87.9% (source: MMLU Pro (Vals AI), read October 22, 2026) - AA Intelligence Index: 22.8 (source: Artificial Analysis (via OpenRouter), read October 22, 2026) - Design Arena: websites: 1176 Elo (source: Design Arena, read October 22, 2026) - Design Arena: UI components: 1162 Elo (source: Design Arena, read October 22, 2026) - Design Arena: game dev: 1171 Elo (source: Design Arena, read October 22, 2026) - Design Arena: data viz: 1166 Elo (source: Design Arena, read October 22, 2026) - Design Arena: 3D: 1152 Elo (source: Design Arena, read October 22, 2026) - Design Arena: all code categories: 1170 Elo (source: Design Arena, read October 22, 2026) - Design Arena: SVG: 1152 Elo (source: Design Arena, read October 22, 2026) - Design Arena: ASCII art: 1167 Elo (source: Design Arena, read October 22, 2026) - LiveCodeBench (Vals AI): 66.5% (source: Vals AI boards, read October 22, 2026) - MMMU Pro (Vals AI): 77.5% (source: Vals AI boards, read October 22, 2026) - MATH 500 (Vals AI): 95.4% (source: Vals AI boards, read October 22, 2026) - MGSM (Vals AI): 94.4% (source: Vals AI boards, read October 22, 2026) - SAGE (Vals AI): 31.4% (source: Vals AI boards, read October 22, 2026) - LegalBench (Vals AI): 83.5% (source: Vals AI boards, read October 22, 2026) - TaxEval (Vals AI): 73.7% (source: Vals AI boards, read October 22, 2026) - MortgageTax (Vals AI): 61.1% (source: Vals AI boards, read October 22, 2026) - MedQA (Vals AI): 93.6% (source: Vals AI boards, read October 22, 2026) - MedCode (Vals AI): 47.2% (source: Vals AI boards, read October 22, 2026) - MedScribe (Vals AI): 73.9% (source: Vals AI boards, read October 22, 2026) - Terminal-Bench: 38.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - WeirdML: 45.9% (source: Epoch AI benchmarking hub, read October 22, 2026) - METR time horizons: 66.8% (source: Epoch AI benchmarking hub, read October 22, 2026) - GDPval: 43.6% (source: Epoch AI benchmarking hub, read October 22, 2026) - DeepResearch Bench: 48.3% (source: Epoch AI benchmarking hub, read October 22, 2026) - GPQA Diamond (Epoch AI run): 77.3% (source: Epoch AI benchmarking hub, read October 22, 2026) - SimpleBench: 60.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - Mystery game puzzles: 21.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - EBR-bench: 7.9% (source: Epoch AI benchmarking hub, read October 22, 2026) - OTIS Mock AIME: 68.9% (source: Epoch AI benchmarking hub, read October 22, 2026) - FrontierMath, tiers 1 to 3: 12.6% (source: Epoch AI benchmarking hub, read October 22, 2026) - FrontierMath, tier 4: 2.4% (source: Epoch AI benchmarking hub, read October 22, 2026) - DTBench: 80.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - LMCA: 37.1% (source: Epoch AI benchmarking hub, read October 22, 2026) - Creative writing (Lech Mazur): 84.7% (source: Epoch AI benchmarking hub, read October 22, 2026) - Cybench: 42.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - VPCT: 35.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - Epoch Capabilities Index: 144.1 (source: Epoch AI benchmarking hub, read October 22, 2026) - LMArena Text: 1419 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: coding: 1479 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: hard prompts: 1442 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: math: 1431 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: instruction following: 1435 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: creative writing: 1412 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: English: 1433 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: non-English: 1405 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Chinese: 1427 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: German: 1413 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Japanese: 1377 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Korean: 1381 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: French: 1433 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Spanish: 1448 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Russian: 1422 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Polish: 1413 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: multi-turn: 1444 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: longer queries: 1455 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: expert: 1438 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: hard prompts in English: 1451 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: software and IT: 1456 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: mathematical work: 1434 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: science: 1422 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: medicine and healthcare: 1416 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: legal and government: 1421 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: business and finance: 1406 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: writing and language: 1418 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: entertainment and media: 1398 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena WebDev: HTML: 1399 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - SciCode: 4.6% (source: Kaggle Benchmarks, read October 22, 2026) - FACTS Benchmark Suite: 40.4% (source: Kaggle Benchmarks, read October 22, 2026)