multimodal benchmark
MedXpertQA Leaderboard
A comprehensive benchmark to evaluate expert-level medical knowledge and advanced reasoning, featuring 4,460 questions spanning 17 specialties and 11 body systems. Includes both text-only and multimodal subsets with expert-level exam questions incorporating diverse medical images and rich clinical information.
Updated Aug 17, 2026
Models12
Model coverage12
MetricScore
EvidenceB
MedXpertQA Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score78.4% | Percentile100.0% | Participants12 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score67.3% | Percentile90.9% | Participants12 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score62.4% | Percentile81.8% | Participants12 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score61.4% | Percentile72.7% | Participants12 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score61.3% | Percentile63.6% | Participants12 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score58.1% | Percentile54.5% | Participants12 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score49.0% | Percentile45.5% | Participants12 | EvidenceC | Evaluated |
| Rank08 | ModelGO | Score48.7% | Percentile36.4% | Participants12 | EvidenceC | Evaluated |
| Rank09 | ModelMI | Score43.0% | Percentile27.3% | Participants12 | EvidenceC | Evaluated |
| Rank10 | ModelGO | Score28.7% | Percentile18.2% | Participants12 | EvidenceC | Evaluated |
| Rank11 | ModelGO | Score23.5% | Percentile9.1% | Participants12 | EvidenceC | Evaluated |
| Rank12 | ModelGO | Score18.8% | Percentile0.0% | Participants12 | EvidenceC | Evaluated |
MedXpertQA Highlights
The leading models and scores on this benchmark.
MedXpertQA Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MedXpertQA
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis medxpertqa 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.
- 01MEMuse SparkMeta
- Score
- 78.4%
Strengths
- Ranks #1 of 12 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MedXpertQA, not total model capability
- 02ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team
- Score
- 67.3%
- Price
- $0.40 input / $3.2 output per 1M tokens
Strengths
- Ranks #2 of 12 compared models
- 91th percentile on this benchmark
- C evidence result
Considerations
- This result measures MedXpertQA, not total model capability
- 03ACQwen3.5-27BAlibaba 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 #3 of 12 compared models
- 82th percentile on this benchmark
- C evidence result
Considerations
- This result measures MedXpertQA, not total model capability
- 04ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team
- Score
- 61.4%
- Price
- $0.25 input / $2.0 output per 1M tokens
Strengths
- Ranks #4 of 12 compared models
- 73th percentile on this benchmark
- C evidence result
Considerations
- This result measures MedXpertQA, not total model capability
- 05GOGemma 4 31BGoogle
- Score
- 61.3%
- Speed
- Up to 8.3 tok/s via FriendliAI
Strengths
- Ranks #5 of 12 compared models
- 64th percentile on this benchmark
- C evidence result
Considerations
- This result measures MedXpertQA, not total model capability
Selection summary
Best AI Models for MedXpertQA
Muse Spark currently leads MedXpertQA with 78.4%. 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 MedXpertQA?
What MedXpertQA measures and how its scores work.
A comprehensive benchmark to evaluate expert-level medical knowledge and advanced reasoning, featuring 4,460 questions spanning 17 specialties and 11 body systems. Includes both text-only and multimodal subsets with expert-level exam questions incorporating diverse medical images and rich clinical information.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MedXpertQA
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- medxpertqa|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MedXpertQA.
Which model scores highest on MedXpertQA?
Muse Spark is currently ranked first with 78.4%.
What does MedXpertQA measure?
A comprehensive benchmark to evaluate expert-level medical knowledge and advanced reasoning, featuring 4,460 questions spanning 17 specialties and 11 body systems. Includes both text-only and multimodal subsets with expert-level exam questions incorporating diverse medical images and rich clinical information.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
12 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.