multimodal benchmark
MedXpertQA is a benchmark of expert-level medical knowledge and advanced reasoning with 4,460 questions spanning 17 specialties and 11 body systems, including text-only and multimodal subsets.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score78.40% | Percentile100.00% | Participants12 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score67.30% | Percentile90.91% | Participants12 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score62.40% | Percentile81.82% | Participants12 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score61.40% | Percentile72.73% | Participants12 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score61.30% | Percentile63.64% | Participants12 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score58.10% | Percentile54.55% | Participants12 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score49.00% | Percentile45.45% | Participants12 | EvidenceC | Evaluated |
| Rank08 | ModelGO | Score48.70% | Percentile36.36% | Participants12 | EvidenceC | Evaluated |
| Rank09 | ModelMI | Score43.00% | Percentile27.27% | Participants12 | EvidenceC | Evaluated |
| Rank10 | ModelGO | Score28.70% | Percentile18.18% | Participants12 | EvidenceC | Evaluated |
| Rank11 | ModelGO | Score23.50% | Percentile9.09% | Participants12 | EvidenceC | Evaluated |
| Rank12 | ModelGO | Score18.80% | Percentile0.00% | Participants12 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What MedXpertQA measures and how its scores work.
MedXpertQA is a medical benchmark featuring expert-level exam questions with diverse medical images and clinical information.
It measures expert-level medical knowledge and advanced reasoning using Score, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about MedXpertQA.
Muse Spark is currently ranked first with 78.40%.
The current leaders are Muse Spark (78.40%), Qwen3.5-122B-A10B (67.30%), and Qwen3.5-27B (62.40%).
Qwen3.5-35B-A3B has the lowest matched official input price at $0.25 input / $2.0 output per 1M tokens.
The fastest matched records are Gemma 4 31B (22.86 tok/s via FriendliAI).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures expert-level medical knowledge and advanced reasoning using Score, reported as a ratio.
Yes. Higher values rank better for this benchmark.
12 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis medxpertqa AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Muse Spark currently leads MedXpertQA with 78.40%. 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.