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A head-to-head benchmark comparison of o1-mini across 7 evaluations.
We've developed a new series of AI models designed to spend more time thinking before they respond. They can reason through complex tasks and solve harder probl.
Full o1-mini specs →| Benchmark | o1-mini |
|---|---|
| code | |
| Codeforces Elo | 1,650 |
| LiveCodeBench v5 | 53.8% |
| math | |
| AIME 2024 | 63.6% |
| AIME 2025 | 54.8% |
| HMMT February 2025 | 38% |
| Omni-MATH | 60.5 |
| reasoning | |
| GPQA Diamond | 60% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
o1-mini has the strongest result on Codeforces Elo among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 7 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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