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LLM Stats
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.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- multimodal
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 23
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Qwen3.7 Max | 0.865 | Not recorded | Not recorded | 2026-05-19 · model_announcement | LLM Stats |
| Qwen3.7-Plus | 0.84 | Not recorded | Not recorded | 2026-05-31 · model_announcement | LLM Stats |
| Qwen3.6 Plus | 0.774 | Not recorded | Not recorded | 2026-04-02 · model_announcement | LLM Stats |
| Qwen3.5-397B-A17B | 0.733 | Not recorded | Not recorded | 2026-02-16 · model_announcement | LLM Stats |
| Qwen3.5-27B | 0.712 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3.5-122B-A10B | 0.689 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3.5-35B-A3B | 0.644 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3-235B-A22B-Thinking-2507 | 0.601 | Not recorded | Not recorded | 2025-07-25 · model_announcement | LLM Stats |
| Qwen3.5-9B | 0.573 | Not recorded | Not recorded | 2026-03-02 · model_announcement | LLM Stats |
| Qwen3-Next-80B-A3B-Thinking | 0.563 | Not recorded | Not recorded | 2025-09-10 · model_announcement | LLM Stats |
| Qwen3 VL 32B Thinking | 0.52 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 30B A3B Thinking | 0.517 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3.5-4B | 0.511 | Not recorded | Not recorded | 2026-03-02 · model_announcement | LLM Stats |
| Qwen3-235B-A22B-Instruct-2507 | 0.502 | Not recorded | Not recorded | 2025-07-22 · model_announcement | LLM Stats |
| Qwen3 VL 8B Thinking | 0.475 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3-Next-80B-A3B-Instruct | 0.459 | Not recorded | Not recorded | 2025-09-10 · model_announcement | LLM Stats |
| Qwen3 VL 4B Thinking | 0.446 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 30B A3B Instruct | 0.443 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 32B Instruct | 0.405 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 8B Instruct | 0.304 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 4B Instruct | 0.288 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3.5-2B | 0.261 | Not recorded | Not recorded | 2026-03-02 · model_announcement | LLM Stats |
| Qwen3.5-0.8B | 0.082 | Not recorded | Not recorded | 2026-03-02 · model_announcement | LLM Stats |