MedQ-Deg - Imaging Perception: leaderboard

Metric: Accuracy (%) on the Imaging Perception questions of MedQ-Deg (capability dimension of the medical perception 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: Not forecast. 40 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 235B A22B Instruct40.5#264
2GPT-536.5#91
3GPT-4.1 Mini34#346
4GPT-4.132.5#240
5Gemma 3 4B32.5#1084
6GPT-4o32#333
7GPT-5.130.5#131
8Qwen 2 VL 7B Instruct30.5#816
9Gemini 2.5 Pro30#145
10MedGemma-4B30#731
11Qwen 2.5 VL 72B Instruct28.5#364
12Qwen 2.5 VL 32B Instruct27.5#443
13Gemini 2.5 Flash25.5#237
14Qwen 3 VL 30B A3B Instruct25.5#365
15GLM-4.5V25.5#339

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-imaging-perception · How It Works · Data refreshed daily, snapshot 2026-10-11.