A multimodal medical multiple-choice benchmark covering clinical images such as X-rays, histology, and dermatology.
BenchLM mirrors the published score view for MedXpertQA (MM). Gemini 3.1 Pro leads the public snapshot at 81.3% , followed by Muse Spark (78.4%) and GPT-5.4 (77.1%). BenchLM does not use these results to rank models overall.
Gemini 3.1 Pro
Muse Spark
Meta
GPT-5.4
OpenAI
The published MedXpertQA (MM) snapshot is tightly clustered at the top: Gemini 3.1 Pro sits at 81.3%, while the third row is only 4.2 points behind. The broader top-10 spread is 16.5 points, so the benchmark still separates strong models even when the leaders cluster.
5 models have been evaluated on MedXpertQA (MM). The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. MedXpertQA (MM) is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
2,000 multimodal medical questions
Format
Medical visual MCQ
Difficulty
Clinical multimodal reasoning
Meta describes the multimodal MedXpertQA variant as 2,000 clinically grounded medical questions with five answer choices. BenchLM stores it as a display-only health and multimodal reference.
Version
MedXpertQA (MM) 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A multimodal medical multiple-choice benchmark covering clinical images such as X-rays, histology, and dermatology.
Gemini 3.1 Pro by Google currently leads with a score of 81.3% on MedXpertQA (MM).
5 AI models have been evaluated on MedXpertQA (MM) on BenchLM.
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