OpenAI · model passport
o1 Mini
o1-mini- Cloud only
- Proprietary licence
- Released 2024-09-12(curated)
- Overall · LMArena
- 1,337#218 of 396
- Best percentile
- 61.5LiveCodeBench (Artificial Analysis)
- Cohort standing
- 41.9median 38.0
What the data says
Benchmarked on 12 of 27 tracked axes. Every figure below is the model's own published result on that board.
Weakest axes
- 4.6 pct — SimpleBench (18.1%)
Uneven: 56.9 percentile points between its best and worst axis — 61.5 pct on LiveCodeBench (Artificial Analysis) versus 4.6 pct on SimpleBench.
- LiveCodeBench (Artificial Analysis)61.5 pct57.6%Verify →
- LiveBench58.1 pct57.8%Verify →
- MMLU-Pro (Artificial Analysis)48.7 pct74.2%Verify →
- Instruction following48.2 pct1,331Verify →
- Hard prompts47.7 pct1,360Verify →
- Coding46.5 pct1,386Verify →
- Overall45.2 pct1,337Verify →
- GPQA Diamond43.9 pct62.4%Verify →
- AIME (math)37 pct46.9%Verify →
- FrontierMath20.3 pct1.7%Verify →
- ARC-AGI-216.9 pct0.8%Verify →
- SimpleBench4.6 pct18.1%Verify →
- WebDev ArenaNot benchmarked
- Vision ArenaNot benchmarked
- Factuality ArenaNot benchmarked
- Search ArenaNot benchmarked
- Document ArenaNot benchmarked
- Agent ArenaNot benchmarked
- SimpleQA VerifiedNot benchmarked
- Humanity's Last ExamNot benchmarked
- BFCL v4 (function calling)Not benchmarked
- SWE-bench Verified (live board)Not benchmarked
- Terminal-Bench 4.0Not 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-mini stands at 41.9 (raw mean 39.9) — measured on 12 of 27 axes.
o1-mini stands at 41.9 versus a cohort median of 38 across 129 models released within 180 days — above the peer median.
o1-mini scores at percentile 4.6 on SimpleBench.
o1-mini ranks between #185 and #761 across 5 built-in weightings — best under "Coding-focused", worst under "All sources".
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 →