Benchmark
PolyMATH
math
reasoning
spatial_reasoning
multimodal
vision
multimodal
Polymath is a challenging multi-modal mathematical reasoning benchmark designed to evaluate the general cognitive reasoning abilities of Multi-modal Large Language Models (MLLMs). The benchmark comprises 5,000 manually collected high-quality images of cognitive textual and visual challenges across 10 distinct categories, including pattern recognition, spatial reasoning, and relative reasoning.
语言EN
满分1
参评模型4
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | Qwen3-235B-A22B-Thinking-2507 | Alibaba Cloud / Qwen Team | 60.1 | 来源 ↗ |
| 2 | Qwen3-Next-80B-A3B-Thinking | Alibaba Cloud / Qwen Team | 56.3 | 来源 ↗ |
| 3 | Qwen3-235B-A22B-Instruct-2507 | Alibaba Cloud / Qwen Team | 50.2 | 来源 ↗ |
| 4 | Qwen3-Next-80B-A3B-Instruct | Alibaba Cloud / Qwen Team | 45.9 | 来源 ↗ |