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.
Top 10
榜单概览
数据说明
分数为 0-100 百分制综合成绩(Elo 榜为相对评分,仅供同榜内比较)。评测分数属事实数据,整理自公开评测体系与厂商公开资料,部分分数为厂商自报口径,不同榜单的评测方法与数据集可能存在差异,请结合多个榜单交叉参考。
Ranking
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-Next-80B-A3B-Instruct | Alibaba Cloud / Qwen Team | 45.9 | 来源 |