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PolyMATH

Paper

Progress Over Time

Interactive timeline showing model performance evolution on PolyMATH

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PolyMATH Leaderboard

23 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$1.25 / $3.75
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
3
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$0.50 / $3.00
4
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
397B
5
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.30 / $2.40
6
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B
7
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B
8
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
235B
9
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B
10
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
80B
11
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
12
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
13
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B
14
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
235B
15
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B
16
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
80B
17
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $1.00
18
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
19
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
20
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B
21
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $0.60
22
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
2B
23
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
800M
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About this benchmark

What is PolyMATH?

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.

PolyMATH is a multimodal benchmark evaluating models on math, multimodal, reasoning, spatial reasoning, and vision tasks. LLM Stats tracks 23 models on this benchmark, scored on a 0–1 scale. The current average is 0.5, with the leader at 0.9.

Compare leaders on the best AI for math, best AI for multimodal, best AI for reasoning, best AI for spatial reasoning and best AI for vision leaderboards.

Current leaders

Qwen3.7 Max from Alibaba Cloud / Qwen Team currently leads the PolyMATH leaderboard with a score of 0.865 across 23 evaluated AI models.

1Qwen3.7 MaxAlibaba Cloud / Qwen Team86.5%
2Qwen3.7-PlusAlibaba Cloud / Qwen Team84.0%
3Qwen3.6 PlusAlibaba Cloud / Qwen Team77.4%
OSSQwen3.5-397B-A17B#4 open-weight73.3%

FAQ

Common questions about the PolyMATH benchmark and leaderboard.

What is the PolyMATH benchmark?

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.

What is the PolyMATH leaderboard?

The PolyMATH leaderboard ranks 23 AI models based on their performance on this benchmark. Currently, Qwen3.7 Max by Alibaba Cloud / Qwen Team leads with a score of 0.865. The average score across all models is 0.531.

What is the highest PolyMATH score?

The highest PolyMATH score is 0.865, achieved by Qwen3.7 Max from Alibaba Cloud / Qwen Team.

How many models are evaluated on PolyMATH?

23 models have been evaluated on the PolyMATH benchmark, with 0 verified results and 23 self-reported results.

Where can I find the PolyMATH paper?

The PolyMATH paper is available at https://arxiv.org/abs/2410.14702. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does PolyMATH cover?

PolyMATH is categorized under math, multimodal, reasoning, spatial reasoning, and vision. The benchmark evaluates multimodal models.

What is the best open-source model on PolyMATH?

Qwen3.5-397B-A17B by Alibaba Cloud / Qwen Team is the top-ranked open-source model on PolyMATH, with a score of 0.733 (rank #4).

Which model offers the best value on PolyMATH?

Among models scoring within 10% of the leader, Qwen3.7 Max from Alibaba Cloud / Qwen Team is the cheapest, at $1.25 per million input tokens with a score of 0.865.

How recent are the PolyMATH leaderboard results?

The PolyMATH leaderboard was last updated in August 2026 and currently includes 23 evaluated models.