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
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4 | 34.27 |
| 2 | Gemini 3 Flash | 34.07 |
| 3 | GPT-5.1 | 30.04 |
| 4 | InternVL3.5-8B | 25.58 |
Interactive version: theaggregate.ai/benchmark?slug=omnifood-bench-advisory-obesity · How It Works · Data refreshed daily, snapshot 2026-09-29.