Benchmark
MMLU-ProX
language
reasoning
math
general
text
Extended version of MMLU-Pro providing additional challenging multiple-choice questions for evaluating language models across diverse academic and professional domains. Built on the foundation of the Massive Multitask Language Understanding benchmark framework.
语言EN
满分1
参评模型8
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | Qwen3-235B-A22B-Thinking-2507 | Alibaba Cloud / Qwen Team | 81.0 | 来源 ↗ |
| 2 | Qwen3-235B-A22B-Instruct-2507 | Alibaba Cloud / Qwen Team | 79.4 | 来源 ↗ |
| 3 | Qwen3-Next-80B-A3B-Thinking | Alibaba Cloud / Qwen Team | 78.7 | 来源 ↗ |
| 4 | Qwen3-Next-80B-A3B-Instruct | Alibaba Cloud / Qwen Team | 76.7 | 来源 ↗ |
| 5 | Gemma 3n E4B Instructed | 19.9 | 来源 ↗ | |
| 6 | Gemma 3n E4B Instructed LiteRT Preview | 19.9 | 来源 ↗ | |
| 7 | Gemma 3n E2B Instructed | 8.1 | 来源 ↗ | |
| 8 | Gemma 3n E2B Instructed LiteRT (Preview) | 8.1 | 来源 ↗ |