OpenAI · model passport
o1 Preview
o1-preview- Cloud only
- Proprietary licence
- Released 2024-09-12(curated)
- Overall · LMArena
- 1,389#164 of 396
- Best percentile
- 89.9MMLU-Pro (Artificial Analysis)
- Cohort standing
- 55.4median 37.9
What the data says
Benchmarked on 10 of 27 tracked axes. Every figure below is the model's own published result on that board.
Strongest axes
- 89.9 pct — MMLU-Pro (Artificial Analysis) (84.8%)
Uneven: 56.4 percentile points between its best and worst axis — 89.9 pct on MMLU-Pro (Artificial Analysis) versus 33.5 pct on AIME (math).
- MMLU-Pro (Artificial Analysis)89.9 pct84.8%Verify →
- LiveBench74.9 pct66.0%Verify →
- SWE-bench Verified (live board)70.8 pct64.6%Verify →
- Instruction following59.8 pct1,381Verify →
- Overall58.8 pct1,389Verify →
- Hard prompts56.1 pct1,396Verify →
- Coding53.7 pct1,415Verify →
- SimpleBench37.9 pct41.7%Verify →
- GPQA Diamond34.8 pct50.3%Verify →
- AIME (math)33.5 pct31.1%Verify →
- WebDev ArenaNot benchmarked
- Vision ArenaNot benchmarked
- Factuality ArenaNot benchmarked
- Search ArenaNot benchmarked
- Document ArenaNot benchmarked
- Agent ArenaNot benchmarked
- FrontierMathNot benchmarked
- SimpleQA VerifiedNot benchmarked
- ARC-AGI-2Not benchmarked
- Humanity's Last ExamNot benchmarked
- BFCL v4 (function calling)Not benchmarked
- Terminal-Bench 4.0Not benchmarked
- LiveCodeBench (Artificial Analysis)Not benchmarked
- IFBench (Artificial Analysis)Not benchmarked
- HHEM Hallucination (Vectara)Not benchmarked
- SWE-bench VerifiedNot benchmarked
- Terminal-BenchNot benchmarked
Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.
o1-preview stands at 55.4 (raw mean 57) — measured on 10 of 27 axes.
o1-preview stands at 55.4 versus a cohort median of 37.9 across 129 models released within 180 days — above the peer median.
o1-preview scores at percentile 89.9 on MMLU-Pro (Artificial Analysis).
o1-preview ranks between #147 and #314 across 5 built-in weightings — best under "Coding-focused", worst under "Reasoning".
Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →