multimodal benchmark
PMC-VQA Leaderboard
A medical visual question answering benchmark built on biomedical literature and medical figures.
Updated Aug 17, 2026
Models3
Model coverage3
MetricScore
EvidenceB
PMC-VQA Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score63.3% | Percentile100.0% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score62.4% | Percentile50.0% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score62.0% | Percentile0.0% | Participants3 | EvidenceC | Evaluated |
PMC-VQA Highlights
The leading models and scores on this benchmark.
PMC-VQA Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for PMC-VQA
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis pmc-vqa AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team
- Score
- 63.3%
- Price
- $0.40 input / $3.2 output per 1M tokens
Strengths
- Ranks #1 of 3 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures PMC-VQA, not total model capability
- 02ACQwen3.5-27BAlibaba Cloud / Qwen Team
- Score
- 62.4%
- Price
- $0.30 input / $2.4 output per 1M tokens
- Speed
- Up to 6.7 tok/s via Novita
Strengths
- Ranks #2 of 3 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures PMC-VQA, not total model capability
- 03ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team
- Score
- 62.0%
- Price
- $0.25 input / $2.0 output per 1M tokens
Strengths
- Ranks #3 of 3 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures PMC-VQA, not total model capability
Selection summary
Best AI Models for PMC-VQA
Qwen3.5-122B-A10B currently leads PMC-VQA with 63.3%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is PMC-VQA?
What PMC-VQA measures and how its scores work.
A medical visual question answering benchmark built on biomedical literature and medical figures.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- PMC-VQA
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- pmc-vqa|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about PMC-VQA.
Which model scores highest on PMC-VQA?
Qwen3.5-122B-A10B is currently ranked first with 63.3%.
What does PMC-VQA measure?
A medical visual question answering benchmark built on biomedical literature and medical figures.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
3 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.