DermoBench - Diagnosis (25-Way Triage): leaderboard

Triage-style dermatology diagnosis from DermoBench (DermoGPT paper, Ru et al., 2026): each of 2,000 held-out images must be placed in one of 25 coarse diagnostic categories collapsed from a 325-class ontology, as a 25-option multiple-choice question. Accuracy in percent; higher is better.

Metric: Accuracy (%; 25-way coarse-category MCQA, in-distribution). Source: arxiv.org. Saturation forecast: Around October 2027. 18 models tracked.

Top models

#ModelScoreOverall rank
1Llama 3.2 90B51.65#1740
2QVQ-72B-Preview47.3#1173
3Gemini 2.5 Flash47.2#452
4Qwen 3 VL 8B Instruct45.35#982
5Qwen 2.5 VL 72B Instruct35.95#845
6GPT-4o Mini34.75#1627
7Claude Sonnet 4.5 (Thinking)34.15#244 (Claude Sonnet 4.5)
8GLM-4.5V28.85#739
9Nemotron Nano 12B v2 VL25.6#2248
10Llama 3.2 11B16.5#6434

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

Interactive version: theaggregate.ai/benchmark?slug=dermobench-diagnosis-25-way-triage · How It Works · Data refreshed daily, snapshot 2026-11-12.