LeafBench - Healthy-Diseased Classification: leaderboard

Metric: Accuracy (%) on the questions asking whether the leaf is healthy or diseased, on the full LeafBench set (13,950 label-constrained multiple-choice questions on 2,570 leaf images from the LeafNet plant-disease dataset, 22 crop species and 62 diseases); zero-shot; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 7 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4o92.48#333
2Gemini 2.5 Pro88.25#145
3Qwen 2.5 VL 7B Instruct81.05#643

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

Interactive version: theaggregate.ai/benchmark?slug=leafbench-healthy-diseased-classification · How It Works · Data refreshed daily, snapshot 2026-10-11.