OmniFood-Bench - Advisory (Diabetes): leaderboard

Metric: Advisory accuracy (%; share of images for which the model gives the annotated intake recommendation - normal, controlled or avoid - for a diabetes profile, the label following the authoritative nutrient ranges for that condition; images of the MM-Food-100K subset; zero-shot, one standardized prompt per task; the open-weight models see all 1,208 samples and the proprietary models a 496-sample subset). Source: arxiv.org. Saturation forecast: Around August 2028. 6 models tracked.

Top models

#ModelScore
1GPT-5.141.13
2Claude Sonnet 428.63
3Gemini 3 Flash26.61
4InternVL3.5-8B20.2

Interactive version: theaggregate.ai/benchmark?slug=omnifood-bench-advisory-diabetes · How It Works · Data refreshed daily, snapshot 2026-09-29.