# Anthropic Claude Fable 5 As of October 22, 2026, Anthropic Claude Fable 5 ranks #8 of 123 models overall with 79.0 ±4.8 on the LLMBenchmark Index. Claude Fable 5 ranks #7 of 108 in math, its strongest category. Anthropic Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens. Claude Fable 5 was released on June 9, 2026. Page: https://llmbenchmark.ai/models/claude-fable-5 Data from October 22, 2026. Every figure below names the board it was read from and the day. - Maker: Anthropic - Released: June 9, 2026 - Price per million input tokens: $10.00 - Price per million output tokens: $50.00 - Context window: 1M tokens - Overall rank: 8 of 123, by the LLMBenchmark Index - LLMBenchmark Index: 79.0 ±4.8 (90% margin, from 7 of 7 inputs) - Artificial Analysis Intelligence Index: 49.6 - Vibe Coding Index: 79.3 (from 6 of 6 coding benchmarks) Benchmark results (127 of 195): - LiveBench coding: 98.3% (source: LiveBench, read October 22, 2026) - LMArena WebDev: 1624 Elo (source: LMArena WebDev, read October 22, 2026) - GPQA Diamond: 93.2% (source: GPQA (Vals AI), read October 22, 2026) - MMLU Pro: 91.5% (source: MMLU Pro (Vals AI), read October 22, 2026) - AA Intelligence Index: 49.6 (source: Artificial Analysis (via OpenRouter), read October 22, 2026) - AA Coding Index: 76.5 (source: Artificial Analysis (via OpenRouter), read October 22, 2026) - AA Agentic Index: 50.7 (source: Artificial Analysis (via OpenRouter), read October 22, 2026) - Design Arena: websites: 1295 Elo (source: Design Arena, read October 22, 2026) - Design Arena: UI components: 1316 Elo (source: Design Arena, read October 22, 2026) - Design Arena: game dev: 1335 Elo (source: Design Arena, read October 22, 2026) - Design Arena: data viz: 1304 Elo (source: Design Arena, read October 22, 2026) - Design Arena: 3D: 1318 Elo (source: Design Arena, read October 22, 2026) - Design Arena: all code categories: 1310 Elo (source: Design Arena, read October 22, 2026) - Design Arena: SVG: 1302 Elo (source: Design Arena, read October 22, 2026) - Design Arena: ASCII art: 1329 Elo (source: Design Arena, read October 22, 2026) - Design Arena: agents building web apps: 1261 Elo (source: Design Arena, read October 22, 2026) - Design Arena: agents building full-stack apps: 1280 Elo (source: Design Arena, read October 22, 2026) - Design Arena: agents building mobile apps: 1264 Elo (source: Design Arena, read October 22, 2026) - Design Arena: agents building Android apps: 1284 Elo (source: Design Arena, read October 22, 2026) - Design Arena: agents building Godot games: 1292 Elo (source: Design Arena, read October 22, 2026) - Design Arena: agents building games: 1285 Elo (source: Design Arena, read October 22, 2026) - Design Arena: HTML slides: 1227 Elo (source: Design Arena, read October 22, 2026) - Design Arena: PowerPoint slides: 1270 Elo (source: Design Arena, read October 22, 2026) - LiveBench reasoning: 89.7% (source: LiveBench, read October 22, 2026) - LiveBench data analysis: 80.5% (source: LiveBench, read October 22, 2026) - LiveBench research: 86.9% (source: LiveBench, read October 22, 2026) - LiveBench browser: 92.0% (source: LiveBench, read October 22, 2026) - LiveBench long agentic: 53.2% (source: LiveBench, read October 22, 2026) - LiveBench design: 84.7% (source: LiveBench, read October 22, 2026) - LiveCodeBench (Vals AI): 89.8% (source: Vals AI boards, read October 22, 2026) - SWE-bench Verified (Vals AI): 95.0% (source: Vals AI boards, read October 22, 2026) - Terminal-Bench 4 (Vals AI): 41.4% (source: Vals AI boards, read October 22, 2026) - Vibe Code Bench (Vals AI): 90.3% (source: Vals AI boards, read October 22, 2026) - Code migration (Vals AI): 55.1% (source: Vals AI boards, read October 22, 2026) - ProgramBench (Vals AI): 2.0% (source: Vals AI boards, read October 22, 2026) - Terminal-Bench 2.1 (Vals AI): 80.5% (source: Vals AI boards, read October 22, 2026) - Finance Agent (Vals AI): 56.3% (source: Vals AI boards, read October 22, 2026) - Tax Agent Bench (Vals AI): 38.3% (source: Vals AI boards, read October 22, 2026) - Legal Research Bench (Vals AI): 49.5% (source: Vals AI boards, read October 22, 2026) - Excel Modeling Benchmark (Vals AI): 73.7% (source: Vals AI boards, read October 22, 2026) - Terminal-Bench-Science (Vals AI): 15.7% (source: Vals AI boards, read October 22, 2026) - Public Benefits Bench (Vals AI): 70.4% (source: Vals AI boards, read October 22, 2026) - MMMU Pro (Vals AI): 89.3% (source: Vals AI boards, read October 22, 2026) - SAGE (Vals AI): 51.9% (source: Vals AI boards, read October 22, 2026) - LegalBench (Vals AI): 88.6% (source: Vals AI boards, read October 22, 2026) - CorpFin (Vals AI): 71.8% (source: Vals AI boards, read October 22, 2026) - TaxEval (Vals AI): 76.9% (source: Vals AI boards, read October 22, 2026) - MortgageTax (Vals AI): 68.9% (source: Vals AI boards, read October 22, 2026) - MedCode (Vals AI): 56.1% (source: Vals AI boards, read October 22, 2026) - MedScribe (Vals AI): 88.5% (source: Vals AI boards, read October 22, 2026) - Vals Multimodal Index: 74.2% (source: Vals AI boards, read October 22, 2026) - GPQA Diamond (Artificial Analysis run): 92.6% (source: Artificial Analysis, read October 22, 2026) - Humanity's Last Exam (Artificial Analysis run): 55.5% (source: Artificial Analysis, read October 22, 2026) - SciCode: 61.0% (source: Artificial Analysis, read October 22, 2026) - Terminal-Bench Hard (Artificial Analysis run): 62.9% (source: Artificial Analysis, read October 22, 2026) - IFBench: 63.5% (source: Artificial Analysis, read October 22, 2026) - Long context reasoning (AA-LCR): 82.3% (source: Artificial Analysis, read October 22, 2026) - τ²-Bench Telecom: 98.5% (source: Artificial Analysis, read October 22, 2026) - FrontierCode: 53.5% (source: Epoch AI benchmarking hub, read October 22, 2026) - FrontierSWE: 47.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - GSO-Bench: 78.4% (source: Epoch AI benchmarking hub, read October 22, 2026) - WeirdML: 91.9% (source: Epoch AI benchmarking hub, read October 22, 2026) - MirrorCode: 63.9% (source: Epoch AI benchmarking hub, read October 22, 2026) - APEX-Agents: 63.6% (source: Epoch AI benchmarking hub, read October 22, 2026) - Remote Labor Index: 16.1% (source: Epoch AI benchmarking hub, read October 22, 2026) - PostTrainBench: 41.8% (source: Epoch AI benchmarking hub, read October 22, 2026) - GPQA Diamond (Epoch AI run): 85.9% (source: Epoch AI benchmarking hub, read October 22, 2026) - ARC-AGI: 98.5% (source: Epoch AI benchmarking hub, read October 22, 2026) - ARC-AGI-2: 89.2% (source: Epoch AI benchmarking hub, read October 22, 2026) - SimpleBench: 81.9% (source: Epoch AI benchmarking hub, read October 22, 2026) - Chess puzzles: 47.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - Mystery game puzzles: 52.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - EBR-bench: 39.5% (source: Epoch AI benchmarking hub, read October 22, 2026) - OTIS Mock AIME: 100.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - FrontierMath, tiers 1 to 3: 87.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - FrontierMath, tier 4: 90.2% (source: Epoch AI benchmarking hub, read October 22, 2026) - ProofBench: 95.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - SimpleQA Verified: 70.7% (source: Epoch AI benchmarking hub, read October 22, 2026) - DTBench: 98.4% (source: Epoch AI benchmarking hub, read October 22, 2026) - LMCA: 61.2% (source: Epoch AI benchmarking hub, read October 22, 2026) - Surface Evolver Bench: 95.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - Furniture assembly: 35.8% (source: Epoch AI benchmarking hub, read October 22, 2026) - ALE-Bench: 2041.3 (source: ALE-Bench (Sakana AI), read October 22, 2026) - Vending-Bench 2: $5,680 (source: Epoch AI benchmarking hub, read October 22, 2026) - Epoch Capabilities Index: 163.4 (source: Epoch AI benchmarking hub, read October 22, 2026) - LMArena Text: 1491 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: coding: 1518 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: hard prompts: 1507 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: math: 1516 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: instruction following: 1502 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: creative writing: 1494 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Vision: 1325 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: English: 1498 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: non-English: 1482 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Chinese: 1543 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: German: 1486 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Japanese: 1504 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Korean: 1487 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: French: 1505 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Spanish: 1498 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Russian: 1503 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Polish: 1494 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: multi-turn: 1504 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: longer queries: 1510 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: expert: 1534 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: hard prompts in English: 1509 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: software and IT: 1513 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: mathematical work: 1515 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: science: 1506 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: medicine and healthcare: 1480 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: legal and government: 1498 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: business and finance: 1480 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: writing and language: 1501 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: entertainment and media: 1482 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena WebDev: React: 1631 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena WebDev: HTML: 1651 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena WebDev: from an image: 1623 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Vision: English: 1323 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Vision: Chinese: 1373 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Vision: reading text: 1337 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Vision: diagrams: 1357 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Vision: homework: 1361 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Vision: humor: 1341 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Vision: creative writing: 1338 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Search: 1229 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Document: 1496 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - Kagi LLM Benchmark: 91.4% (source: Kagi LLM Benchmarking Project, read October 22, 2026)