# OpenAI o1

As of October 22, 2026, OpenAI o1 ranks #83 of 123 models overall with 44.6 ±10.3 on the LLMBenchmark Index. o1 ranks #50 of 75 in knowledge, its strongest category. OpenAI o1 costs $15.00 per million input tokens and $60.00 per million output tokens. o1 was released on December 17, 2024.

Page: https://llmbenchmark.ai/models/o1
Data from October 22, 2026. Every figure below names the board it was read from and the day.

- Maker: OpenAI
- Released: December 17, 2024
- Price per million input tokens: $15.00
- Price per million output tokens: $60.00
- Context window: 200K tokens
- Overall rank: 83 of 123, by the LLMBenchmark Index
- LLMBenchmark Index: 44.6 ±10.3 (90% margin, from 5 of 7 inputs)
- Artificial Analysis Intelligence Index: 15.2

Benchmark results (69 of 195):

- Aider polyglot: 61.7% (source: Aider polyglot leaderboard, read October 22, 2026)
- GPQA Diamond: 73.2% (source: GPQA (Vals AI), read October 22, 2026)
- AIME: 71.5% (source: AIME (Vals AI), read October 22, 2026)
- MMLU Pro: 83.5% (source: MMLU Pro (Vals AI), read October 22, 2026)
- AA Intelligence Index: 15.2 (source: Artificial Analysis (via OpenRouter), read October 22, 2026)
- AA Coding Index: 39.7 (source: Artificial Analysis (via OpenRouter), read October 22, 2026)
- LiveCodeBench (Vals AI): 50.3% (source: Vals AI boards, read October 22, 2026)
- MMMU Pro (Vals AI): 77.4% (source: Vals AI boards, read October 22, 2026)
- MATH 500 (Vals AI): 90.4% (source: Vals AI boards, read October 22, 2026)
- MGSM (Vals AI): 89.3% (source: Vals AI boards, read October 22, 2026)
- LegalBench (Vals AI): 80.4% (source: Vals AI boards, read October 22, 2026)
- TaxEval (Vals AI): 74.3% (source: Vals AI boards, read October 22, 2026)
- MedQA (Vals AI): 96.5% (source: Vals AI boards, read October 22, 2026)
- GPQA Diamond (Artificial Analysis run): 74.7% (source: Artificial Analysis, read October 22, 2026)
- Humanity's Last Exam (Artificial Analysis run): 7.0% (source: Artificial Analysis, read October 22, 2026)
- MMLU Pro (Artificial Analysis run): 84.1% (source: Artificial Analysis, read October 22, 2026)
- LiveCodeBench (Artificial Analysis run): 67.9% (source: Artificial Analysis, read October 22, 2026)
- Terminal-Bench Hard (Artificial Analysis run): 12.9% (source: Artificial Analysis, read October 22, 2026)
- IFBench: 70.3% (source: Artificial Analysis, read October 22, 2026)
- Long context reasoning (AA-LCR): 65.0% (source: Artificial Analysis, read October 22, 2026)
- τ²-Bench Telecom: 62.6% (source: Artificial Analysis, read October 22, 2026)
- WeirdML: 46.1% (source: Epoch AI benchmarking hub, read October 22, 2026)
- METR time horizons: 51.1% (source: Epoch AI benchmarking hub, read October 22, 2026)
- GPQA Diamond (Epoch AI run): 76.8% (source: Epoch AI benchmarking hub, read October 22, 2026)
- ARC-AGI: 30.7% (source: Epoch AI benchmarking hub, read October 22, 2026)
- SimpleBench: 40.1% (source: Epoch AI benchmarking hub, read October 22, 2026)
- Chess puzzles: 10.0% (source: Epoch AI benchmarking hub, read October 22, 2026)
- OTIS Mock AIME: 73.3% (source: Epoch AI benchmarking hub, read October 22, 2026)
- FrontierMath, tiers 1 to 3: 14.7% (source: Epoch AI benchmarking hub, read October 22, 2026)
- MATH level 5: 94.7% (source: Epoch AI benchmarking hub, read October 22, 2026)
- SimpleQA Verified: 41.1% (source: Epoch AI benchmarking hub, read October 22, 2026)
- GeoBench: 80.0% (source: Epoch AI benchmarking hub, read October 22, 2026)
- DTBench: 74.7% (source: Epoch AI benchmarking hub, read October 22, 2026)
- LMCA: 22.3% (source: Epoch AI benchmarking hub, read October 22, 2026)
- Fiction.LiveBench: 83.3% (source: Epoch AI benchmarking hub, read October 22, 2026)
- Creative writing (Lech Mazur): 70.2% (source: Epoch AI benchmarking hub, read October 22, 2026)
- VPCT: 37.0% (source: Epoch AI benchmarking hub, read October 22, 2026)
- Epoch Capabilities Index: 141.7 (source: Epoch AI benchmarking hub, read October 22, 2026)
- LMArena Text: 1366 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: coding: 1367 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: hard prompts: 1371 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: math: 1388 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: instruction following: 1367 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: creative writing: 1347 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Vision: 1168 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: English: 1372 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: non-English: 1358 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Chinese: 1394 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: German: 1337 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Japanese: 1346 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Korean: 1396 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: French: 1344 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Spanish: 1345 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Russian: 1356 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: multi-turn: 1355 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: longer queries: 1378 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: expert: 1361 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: hard prompts in English: 1372 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: software and IT: 1366 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: mathematical work: 1390 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: science: 1369 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: medicine and healthcare: 1355 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: legal and government: 1368 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: business and finance: 1328 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: writing and language: 1360 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: entertainment and media: 1358 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Vision: English: 1162 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Vision: Chinese: 1235 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- SciCode: 4.6% (source: Kaggle Benchmarks, read October 22, 2026)