OpenEval - MMLU-Pro CoT — leaderboard
Metric: CoT Correctness (%). Source: huggingface.co. 43 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2.5 72B Instruct | 69.31 |
| 2 | Qwen 3 4B Instruct | 66 |
| 3 | Gemma 3 27B (IT) | 65.7 |
| 4 | Qwen 2.5 32B Instruct | 64.19 |
| 5 | Qwen 2.5 14B Instruct | 61.79 |
| 6 | Gemma 3 12B (IT) | 55.2 |
| 7 | Qwen 2 72B Instruct | 48.45 |
| 8 | Gemma 2 27B (IT) | 42.03 |
| 9 | Qwen 2.5 7B Instruct | 40.92 |
| 10 | Qwen 1.5 32B Chat | 40.02 |
| 11 | Qwen 2.5 3B Instruct | 39.42 |
| 12 | Qwen 1.5 14B Chat | 34.6 |
| 13 | Qwen 2 7B Instruct | 28.08 |
| 14 | Gemma 1.1 7B (IT) | 27.98 |
| 15 | Gemma 2 9B (IT) | 25.08 |
Interactive version: theaggregate.ai/benchmark?slug=openeval-mmlu-pro-cot · How the rankings work · Data refreshed daily, snapshot 2026-07-22.