OmniFood-Bench - Advisory (Obesity): leaderboard

Metric: Advisory accuracy (%; share of images for which the model gives the annotated intake recommendation - normal, controlled or avoid - for a obesity 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 2029. 6 models tracked.

Top models

#ModelScore
1Claude Sonnet 434.27
2Gemini 3 Flash34.07
3GPT-5.130.04
4InternVL3.5-8B25.58

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