PMC-VQA
A medical visual question answering benchmark built on biomedical literature and medical figures.
Qwen3.5-122B-A10B from Alibaba Cloud / Qwen Team currently leads the PMC-VQA leaderboard with a score of 0.633 across 3 evaluated AI models.
What PMC-VQA measures
PMC-VQA is a multimodal benchmark that evaluates large language models on multimodal, reasoning, healthcare, and vision tasks. LLM Stats tracks 3 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.6, with the leader reaching 0.6.
Compare leaders on the best AI for multimodal, best AI for reasoning, best AI for healthcare and best AI for vision leaderboards.
Qwen3.5-122B-A10B leads with 63.3%, followed by Qwen3.5-27B at 62.4% and Qwen3.5-35B-A3B at 62.0%.
Progress Over Time
Interactive timeline showing model performance evolution on PMC-VQA
PMC-VQA Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 122B | 262K | $0.40 / $3.20 | ||
| 2 | Alibaba Cloud / Qwen Team | 27B | 262K | $0.30 / $2.40 | ||
| 3 | Alibaba Cloud / Qwen Team | 35B | 262K | $0.25 / $2.00 |
FAQ
Common questions about PMC-VQA.
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