OpenEval - Omni-MATH: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 22 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 4B Instruct | 38.53 |
| 2 | Qwen 2.5 32B Instruct | 33.5 |
| 3 | Qwen 2.5 72B Instruct | 31.9 |
| 4 | Qwen 2.5 14B Instruct | 29.97 |
| 5 | Qwen 2.5 7B Instruct Turbo | 29.4 |
| 6 | Qwen 2.5 7B Instruct | 28.05 |
| 7 | Qwen 2 72B Instruct | 23.23 |
| 8 | Qwen 2.5 3B Instruct | 20.6 |
| 9 | Qwen 2.5 1.5B Instruct | 15.8 |
| 10 | Qwen 1.5 32B Chat | 14.3 |
| 11 | Qwen 2 7B Instruct | 13.8 |
| 12 | Qwen 1.5 14B Chat | 12.03 |
| 13 | Qwen 1.5 7B Chat | 9.53 |
| 14 | Qwen 2.5 0.5B Instruct | 9.43 |
| 15 | Qwen-14B-Chat | 7.72 |
Interactive version: theaggregate.ai/benchmark?slug=openeval-omni-math · How It Works · Data refreshed daily, snapshot 2026-09-05.