OpenEval - MMLU-Pro CoT: leaderboard
Metric: CoT Correctness (%). Source: huggingface.co. 24 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2.5 72B Instruct | 69.3 |
| 2 | Qwen 3 4B Instruct | 66 |
| 3 | Qwen 2.5 32B Instruct | 64.3 |
| 4 | Qwen 2.5 72B Instruct Turbo | 63.1 |
| 5 | Qwen 2.5 14B Instruct | 61.9 |
| 6 | Qwen 2.5 7B Instruct Turbo | 53.9 |
| 7 | Qwen 2 72B Instruct | 48.5 |
| 8 | Qwen 2.5 7B Instruct | 40.9 |
| 9 | Qwen 1.5 32B Chat | 40.1 |
| 10 | Qwen 2.5 3B Instruct | 39.5 |
| 11 | Qwen 1.5 14B Chat | 34.6 |
| 12 | Qwen 2 7B Instruct | 28.2 |
| 13 | Qwen 1.5 7B Chat | 23.6 |
| 14 | Qwen 2.5 1.5B Instruct | 22.6 |
| 15 | Qwen-14B-Chat | 20.5 |
Interactive version: theaggregate.ai/benchmark?slug=openeval-mmlu-pro-cot · How It Works · Data refreshed daily, snapshot 2026-09-05.