# Mistral Large 4 As of October 21, 2026, Mistral Large 4 ranks #32 of 213 models overall with 38.4 on the Artificial Analysis Intelligence Index. Its strongest category is math, where it ranks #19 of 116. Mistral Large 4 costs $1.36 per million input tokens and $4.18 per million output tokens. It was released on October 6, 2026. Page: https://llmbenchmark.ai/models/mistral-large-4-0 Data from October 21, 2026. Every figure below names the board it was read from and the day. - Maker: Mistral AI - Released: October 6, 2026 - Price per million input tokens: $1.36 - Price per million output tokens: $4.18 - Context window: 1.05M tokens - Overall rank: 32 of 213, by the Artificial Analysis Intelligence Index - Artificial Analysis Intelligence Index: 38.4 - Vibe Coding Index: 55.3 (from 2 of 4 coding benchmarks) Benchmark results (81 of 190): - LiveBench coding: 60.0% (source: LiveBench, read October 21, 2026) - LMArena WebDev: 1543 Elo (source: LMArena WebDev, read October 21, 2026) - AA Intelligence Index: 38.4 (source: Artificial Analysis (via OpenRouter), read October 21, 2026) - Design Arena: websites: 1258 Elo (source: Design Arena, read October 21, 2026) - Design Arena: UI components: 1275 Elo (source: Design Arena, read October 21, 2026) - Design Arena: game dev: 1226 Elo (source: Design Arena, read October 21, 2026) - Design Arena: data viz: 1274 Elo (source: Design Arena, read October 21, 2026) - Design Arena: 3D: 1253 Elo (source: Design Arena, read October 21, 2026) - Design Arena: all code categories: 1259 Elo (source: Design Arena, read October 21, 2026) - Design Arena: SVG: 1232 Elo (source: Design Arena, read October 21, 2026) - Design Arena: ASCII art: 1203 Elo (source: Design Arena, read October 21, 2026) - LiveBench reasoning: 83.9% (source: LiveBench, read October 21, 2026) - LiveBench data analysis: 76.5% (source: LiveBench, read October 21, 2026) - LiveBench research: 28.1% (source: LiveBench, read October 21, 2026) - LiveBench browser: 8.0% (source: LiveBench, read October 21, 2026) - LiveBench long agentic: 11.8% (source: LiveBench, read October 21, 2026) - LiveBench design: 65.6% (source: LiveBench, read October 21, 2026) - Terminal-Bench 4 (Vals AI): 27.8% (source: Vals AI boards, read October 21, 2026) - Vibe Code Bench (Vals AI): 78.4% (source: Vals AI boards, read October 21, 2026) - Code migration (Vals AI): 30.6% (source: Vals AI boards, read October 21, 2026) - IOI (Vals AI): 45.3% (source: Vals AI boards, read October 21, 2026) - SWE-bench Multimodal (Vals AI): 33.1% (source: Vals AI boards, read October 21, 2026) - Vibe Code Bench 1-100 (Vals AI): 14.3% (source: Vals AI boards, read October 21, 2026) - Finance Agent (Vals AI): 54.7% (source: Vals AI boards, read October 21, 2026) - Tax Agent Bench (Vals AI): 30.4% (source: Vals AI boards, read October 21, 2026) - Legal Research Bench (Vals AI): 31.7% (source: Vals AI boards, read October 21, 2026) - Harvey's Legal Agent Benchmark (Vals AI): 17.5% (source: Vals AI boards, read October 21, 2026) - Excel Modeling Benchmark (Vals AI): 56.2% (source: Vals AI boards, read October 21, 2026) - BioMysteryBench (Vals AI): 67.0% (source: Vals AI boards, read October 21, 2026) - MysteryMechanism (Vals AI): 12.2% (source: Vals AI boards, read October 21, 2026) - MedCode (Vals AI): 40.7% (source: Vals AI boards, read October 21, 2026) - MedScribe (Vals AI): 80.4% (source: Vals AI boards, read October 21, 2026) - Humanity's Last Exam (Artificial Analysis run): 35.0% (source: Artificial Analysis, read October 21, 2026) - SciCode: 54.2% (source: Artificial Analysis, read October 21, 2026) - Long context reasoning (AA-LCR): 81.3% (source: Artificial Analysis, read October 21, 2026) - FrontierCode: 39.4% (source: Epoch AI benchmarking hub, read October 21, 2026) - GPQA Diamond (Epoch AI run): 88.1% (source: Epoch AI benchmarking hub, read October 21, 2026) - Chess puzzles: 33.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - Mystery game puzzles: 17.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - OTIS Mock AIME: 98.3% (source: Epoch AI benchmarking hub, read October 21, 2026) - FrontierMath, tiers 1 to 3: 58.6% (source: Epoch AI benchmarking hub, read October 21, 2026) - FrontierMath, tier 4: 26.8% (source: Epoch AI benchmarking hub, read October 21, 2026) - ProofBench: 10.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - SimpleQA Verified: 20.0% (source: Epoch AI benchmarking hub, read October 21, 2026) - DTBench: 88.2% (source: Epoch AI benchmarking hub, read October 21, 2026) - LMCA: 35.8% (source: Epoch AI benchmarking hub, read October 21, 2026) - Surface Evolver Bench: 28.1% (source: Epoch AI benchmarking hub, read October 21, 2026) - Furniture assembly: 20.8% (source: Epoch AI benchmarking hub, read October 21, 2026) - ALE-Bench: 1213.2 (source: ALE-Bench (Sakana AI), read October 21, 2026) - Epoch Capabilities Index: 150.0 (source: Epoch AI benchmarking hub, read October 21, 2026) - LMArena Text: 1431 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: coding: 1478 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: hard prompts: 1444 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: math: 1469 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: instruction following: 1422 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: creative writing: 1363 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: 1272 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: English: 1433 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: non-English: 1422 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: Chinese: 1492 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: Japanese: 1415 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: French: 1492 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: Spanish: 1455 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: Russian: 1417 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: multi-turn: 1435 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: longer queries: 1428 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: expert: 1444 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: hard prompts in English: 1442 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: software and IT: 1467 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: mathematical work: 1462 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: science: 1448 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: medicine and healthcare: 1433 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: legal and government: 1425 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: business and finance: 1439 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: writing and language: 1386 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Text: entertainment and media: 1378 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena WebDev: React: 1559 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena WebDev: HTML: 1487 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: English: 1283 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: reading text: 1284 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026) - LMArena Vision: diagrams: 1288 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)