A medical multiple-choice benchmark spanning many specialties with 10 answer options per question.
BenchLM mirrors the published score view for MedXpertQA (Text). Gemini 3.1 Pro leads the public snapshot at 71.5% , followed by GPT-5.4 (59.6%) and Muse Spark (52.6%). BenchLM does not use these results to rank models overall.
Gemini 3.1 Pro
GPT-5.4
OpenAI
Muse Spark
Meta
The published MedXpertQA (Text) snapshot is tightly clustered at the top: Gemini 3.1 Pro sits at 71.5%, while the third row is only 18.9 points behind. The broader top-10 spread is 21.3 points, so the benchmark still separates strong models even when the leaders cluster.
5 models have been evaluated on MedXpertQA (Text). The benchmark falls in the Knowledge category. This category carries a 12% weight in BenchLM.ai's overall scoring system. MedXpertQA (Text) is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
2,450 medical multiple-choice questions
Format
Medical MCQ
Difficulty
Professional medical knowledge
Meta describes the text variant as 2,450 specialty-spanning medical questions with answer choices A-J. BenchLM treats it as a display-only health benchmark because it is not part of the weighted core schema.
Version
MedXpertQA (Text) 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 medical multiple-choice benchmark spanning many specialties with 10 answer options per question.
Gemini 3.1 Pro by Google currently leads with a score of 71.5% on MedXpertQA (Text).
5 AI models have been evaluated on MedXpertQA (Text) on BenchLM.
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