multimodal benchmark
PathMCQA Leaderboard
PathMCQA is a multimodal expert-level pathology benchmark containing 33,428 multimodal multiple-choice questions and 24,067 images validated by seven pathologists.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
PathMCQA Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score69.80% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
PathMCQA Highlights
The leading models and scores on this benchmark.
The Top AI Models for PathMCQA
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis pathmcqa AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01GOGoogle
- Score
- 69.80%
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures PathMCQA, not total model capability
Selection summary
Best AI Models for PathMCQA
MedGemma 4B IT currently leads PathMCQA with 69.80%. 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 PathMCQA?
What PathMCQA measures and how its scores work.
PathMCQA is a multimodal benchmark for understanding and reasoning in pathology.
It measures Large Multimodal Models (LMMs) performance on pathology tasks using Score, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- PathMCQA
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about PathMCQA.
Which model scores highest on PathMCQA?
MedGemma 4B IT is currently ranked first with 69.80%.
What are the top three models on PathMCQA?
The current leaders are MedGemma 4B IT (69.80%).
Which PathMCQA model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among PathMCQA results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.