MedQ-Deg - Basic Science Reasoning: leaderboard

Metric: Accuracy (%) on the Basic Science questions of MedQ-Deg (capability dimension of the clinical reasoning branch), pooled over the L1 (mild) and L2 (severe) degraded images, multiple-choice medical VQA items merged from OmniMedVQA, GMAI-MMBench and MedXpertQA, each image corrupted by modality-specific degradations whose severity three radiologists calibrated (24,894 QA pairs over 7 modalities and 18 degradation types), single-letter answer, temperature 1.0, mean of 3 runs; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 40 models tracked.

Top models

#ModelScoreOverall rank
1GPT-575#91
2Gemini 2.5 Pro60.7#145
3Gemini 2.5 Flash58.9#237
4Claude Sonnet 4.551.8#138
5GPT-4.150#240
6GPT-5.150#131
7GPT-4o42.9#333
8Qwen 3 VL 235B A22B Instruct37.5#264
9GLM-4.5V37.5#339
10GPT-4.1 Mini33.9#346
11Mistral Small 3.125#600
12Qwen 2 VL 7B Instruct23.2#816
13Qwen 2.5 VL 72B Instruct19.6#364
14Gemma 3 4B17.9#1084
15Qwen 2.5 VL 32B Instruct17.9#443

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=medq-deg-basic-science-reasoning · How It Works · Data refreshed daily, snapshot 2026-10-11.