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A head-to-head benchmark comparison of s1 across 4 evaluations.
Test-time scaling is a promising new approach to language modeling that uses extra test-time compute to improve performance. Recently, OpenAI's o1 model showed .
Full s1 specs →| Benchmark | s1 |
|---|---|
| math | |
| AIME 2024 | 56.7% |
| AIME 2025 | 60% |
| MATH-500 | 95.4% |
| reasoning | |
| GPQA Diamond | 63.6% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
This comparison covers 4 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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