OpenEvals - MMLU-Pro — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 33 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | MiniMax-M2.1 | 88 |
| 2 | Qwen 3.5 397B A17B | 87.8 |
| 3 | Kimi K2.5 | 87.1 |
| 4 | Qwen 3.5 122B A10B | 86.7 |
| 5 | Qwen 3.5 27B | 86.1 |
| 6 | Qwen 3.5 35B A3B | 85.3 |
| 7 | DeepSeek V3.2 | 85 |
| 8 | DeepSeek R1 0528 | 85 |
| 9 | Kimi K2 (Thinking) | 84.6 |
| 10 | Qwen 3 235B A22B (Thinking) | 84.4 |
| 11 | Step 3.5 Flash | 84.4 |
| 12 | GLM-4.7 | 84.3 |
| 13 | DeepSeek R1 | 84 |
| 14 | NVIDIA-Nemotron-3-Super-120B-A12B-BF16 | 83.73 |
| 15 | Qwen 3.5 9B | 82.5 |
Interactive version: theaggregate.ai/benchmark?slug=openevals-mmlu-pro · How the rankings work · Data refreshed daily, snapshot 2026-07-22.