# OpenAI GPT-4.1 Nano As of October 22, 2026, OpenAI GPT-4.1 Nano ranks #117 of 123 models overall with 24.7 ±11.0 on the LLMBenchmark Index. GPT-4.1 Nano ranks #91 of 108 in math, its strongest category. OpenAI GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens. GPT-4.1 Nano was released on April 14, 2025. Page: https://llmbenchmark.ai/models/gpt-4-1-nano Data from October 22, 2026. Every figure below names the board it was read from and the day. - Maker: OpenAI - Released: April 14, 2025 - Price per million input tokens: $0.10 - Price per million output tokens: $0.40 - Context window: 1.05M tokens - Overall rank: 117 of 123, by the LLMBenchmark Index - LLMBenchmark Index: 24.7 ±11.0 (90% margin, from 5 of 7 inputs) - Artificial Analysis Intelligence Index: 7.8 Benchmark results (71 of 195): - Aider polyglot: 8.9% (source: Aider polyglot leaderboard, read October 22, 2026) - GPQA Diamond: 50.8% (source: GPQA (Vals AI), read October 22, 2026) - AIME: 26.5% (source: AIME (Vals AI), read October 22, 2026) - MMLU Pro: 63.5% (source: MMLU Pro (Vals AI), read October 22, 2026) - AA Intelligence Index: 7.8 (source: Artificial Analysis (via OpenRouter), read October 22, 2026) - AA Coding Index: 11.1 (source: Artificial Analysis (via OpenRouter), read October 22, 2026) - Design Arena: websites: 972 Elo (source: Design Arena, read October 22, 2026) - Design Arena: UI components: 913 Elo (source: Design Arena, read October 22, 2026) - Design Arena: game dev: 970 Elo (source: Design Arena, read October 22, 2026) - Design Arena: data viz: 891 Elo (source: Design Arena, read October 22, 2026) - Design Arena: 3D: 924 Elo (source: Design Arena, read October 22, 2026) - Design Arena: all code categories: 962 Elo (source: Design Arena, read October 22, 2026) - LiveCodeBench (Vals AI): 42.7% (source: Vals AI boards, read October 22, 2026) - MMMU Pro (Vals AI): 55.0% (source: Vals AI boards, read October 22, 2026) - MATH 500 (Vals AI): 80.2% (source: Vals AI boards, read October 22, 2026) - MGSM (Vals AI): 69.3% (source: Vals AI boards, read October 22, 2026) - LegalBench (Vals AI): 61.1% (source: Vals AI boards, read October 22, 2026) - CorpFin (Vals AI): 42.1% (source: Vals AI boards, read October 22, 2026) - TaxEval (Vals AI): 60.8% (source: Vals AI boards, read October 22, 2026) - MortgageTax (Vals AI): 52.8% (source: Vals AI boards, read October 22, 2026) - MedQA (Vals AI): 68.2% (source: Vals AI boards, read October 22, 2026) - AA Math Index: 24.0 (source: Artificial Analysis, read October 22, 2026) - GPQA Diamond (Artificial Analysis run): 51.2% (source: Artificial Analysis, read October 22, 2026) - Humanity's Last Exam (Artificial Analysis run): 3.8% (source: Artificial Analysis, read October 22, 2026) - MMLU Pro (Artificial Analysis run): 65.7% (source: Artificial Analysis, read October 22, 2026) - LiveCodeBench (Artificial Analysis run): 32.6% (source: Artificial Analysis, read October 22, 2026) - Terminal-Bench Hard (Artificial Analysis run): 3.8% (source: Artificial Analysis, read October 22, 2026) - IFBench: 32.0% (source: Artificial Analysis, read October 22, 2026) - Long context reasoning (AA-LCR): 20.3% (source: Artificial Analysis, read October 22, 2026) - τ²-Bench Telecom: 17.3% (source: Artificial Analysis, read October 22, 2026) - AIME 2025 (Artificial Analysis run): 24.0% (source: Artificial Analysis, read October 22, 2026) - WeirdML: 19.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - GPQA Diamond (Epoch AI run): 48.9% (source: Epoch AI benchmarking hub, read October 22, 2026) - ARC-AGI: 0.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - ARC-AGI-2: 0.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - Chess puzzles: 0.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - OTIS Mock AIME: 28.9% (source: Epoch AI benchmarking hub, read October 22, 2026) - MATH level 5: 70.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - SimpleQA Verified: 6.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - DTBench: 52.5% (source: Epoch AI benchmarking hub, read October 22, 2026) - LMCA: 5.5% (source: Epoch AI benchmarking hub, read October 22, 2026) - Fiction.LiveBench: 25.0% (source: Epoch AI benchmarking hub, read October 22, 2026) - Epoch Capabilities Index: 129.5 (source: Epoch AI benchmarking hub, read October 22, 2026) - LMArena Text: 1285 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: coding: 1306 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: hard prompts: 1286 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: math: 1274 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: instruction following: 1266 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: creative writing: 1260 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Vision: 1063 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: English: 1303 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: non-English: 1260 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Chinese: 1270 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: German: 1288 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Japanese: 1198 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: Russian: 1261 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: multi-turn: 1277 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: longer queries: 1283 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: expert: 1271 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: hard prompts in English: 1293 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: software and IT: 1305 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: mathematical work: 1274 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: science: 1297 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: medicine and healthcare: 1276 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: legal and government: 1300 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: business and finance: 1267 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: writing and language: 1261 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Text: entertainment and media: 1243 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - LMArena Vision: English: 1101 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026) - Berkeley Function Calling Leaderboard (BFCL): 33.1% (source: Berkeley Function Calling Leaderboard, read October 22, 2026) - Kagi LLM Benchmark: 33.3% (source: Kagi LLM Benchmarking Project, read October 22, 2026)