MedQ-Deg - Severe Degradation (L2): leaderboard

Metric: Accuracy (%) on the MedQ-Deg items with severe degradations (L2, diagnosis difficult but still feasible), 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 March 2028. 40 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 235B A22B Instruct66.4#264
2Qwen 3 VL 30B A3B Instruct66.14#365
3Gemini 2.5 Pro65.2#145
4GPT-564.3#91
5GPT-5.162.16#131
6Gemini 2.5 Flash62#237
7GPT-4.162#240
8GPT-4.1 Mini61.67#346
9GPT-4o59.73#333
10GLM-4.5V58.94#339
11MedGemma-4B53.77#731
12Qwen 2.5 VL 72B Instruct52.92#364
13Claude Sonnet 4.552.86#138
14Gemma 3 27B52.45#596
15GPT-4o Mini51.53#588

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-severe-degradation-l2 · How It Works · Data refreshed daily, snapshot 2026-10-11.