DermoBench - Reasoning: leaderboard

Morphology-grounded diagnostic reasoning on the 900-image dermatology core set of DermoBench (DermoGPT paper, Ru et al., 2026): the model writes a chain of thought ending in a diagnosis, once freely and once after a structured morphology report, and a Gemini-2.5-Pro judge scores each against dermatologist-revised reference reasoning from 0 to 100. The score is the mean of the two tasks; higher is better.

Metric: Reasoning Score (0-100; mean of two Gemini-2.5-Pro judge scores, free and morphology-grounded CoT). Source: arxiv.org. Saturation forecast: Around 2028. 18 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash53.7#452
2QVQ-72B-Preview52.85#1173
3Qwen 3 VL 8B Instruct50.48#982
4Llama 3.2 90B50.38#1740
5Claude Sonnet 4.5 (Thinking)48.95#244 (Claude Sonnet 4.5)
6GLM-4.5V48.73#739
7GPT-4o Mini47.24#1627
8Qwen 2.5 VL 72B Instruct45.05#845
9Llama 3.2 11B37.22#6434
10Nemotron Nano 12B v2 VL34.65#2248

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=dermobench-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-12.