Knowledge benchmark
MMLU-Pro leaderboard
Massive Multitask Language Understanding Professional. Every model the catalog carries a published MMLU-Pro value for, ranked by that value.
An enhanced version of MMLU with 10 answer choices instead of 4, featuring more reasoning-focused questions that better differentiate frontier models.
MMLU-Pro ranking
46 models with a published MMLU-Pro value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | 10-way multiple choice |
|---|---|---|---|
| 1 | Alibaba | 89.6 | |
| 2 | Anthropic | 89.5 | |
| 3 | Alibaba | 88.5 | |
| 3 | Alibaba | 88.5 | |
| 5 | Alibaba | 87.8 | |
| 6 | DeepSeek | 87.5 | |
| 7 | Moonshot AI | 87.1 | |
| 7 | Moonshot AI | 87.1 | |
| 9 | NVIDIA | 86.8 | |
| 10 | Alibaba | 86.7 | |
| 11 | Upstage | 86.3 | |
| 12 | DeepSeek | 86.2 | |
| 12 | Alibaba | 86.2 | |
| 12 | Upstage | 86.2 | |
| 15 | Alibaba | 86.1 | |
| 16 | Z.AI | 85.7 | |
| 17 | Alibaba | 85.3 | |
| 18 | 85.2 | ||
| 18 | Alibaba | 85.2 | |
| 20 | Microsoft | 85 | |
| 21 | Xiaomi | 84.9 | |
| 22 | Z.AI | 84.3 | |
| 23 | LG AI Research | 83.5 | |
| 24 | Alibaba | 83 | |
| 25 | 82.6 | ||
| 26 | Anthropic | 82 | |
| 27 | LG AI Research | 81.8 | |
| 28 | NVIDIA | 81.62 | |
| 29 | Meituan | 79.24 | |
| 30 | Anthropic | 79.2 | |
| 31 | IBM | 77.6 | |
| 32 | NVIDIA | 77.3 | |
| 33 | 77.2 | ||
| 34 | CECeleris-1 | Celeris | 75.9 |
| 34 | DeepSeek | 75.9 | |
| 36 | ZYZAYA1-8B | Zyphra | 74.2 |
| 37 | IBM | 74.04 | |
| 38 | OPMiniCPM5-2B | OpenBMB | 70.8 |
| 39 | 69.4 | ||
| 40 | ZYZAYA1-74B-Preview | Zyphra | 68.1 |
| 41 | IBM | 67.84 | |
| 42 | 60 | ||
| 43 | SPSoofi S 30B-A3B | Soofi Project | 51.4 |
| 44 | OPMiniCPM5-1B | OpenBMB | 48.85 |
| 45 | LiquidAI | 20.25 | |
| 46 | LiquidAI | 19.32 |
Evidence key: Observed
Rows are ordered by the value MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.