OmniFood-Bench - Advisory (Lipids): leaderboard
Metric: Advisory accuracy (%; share of images for which the model gives the annotated intake recommendation - normal, controlled or avoid - for a lipids 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 January 2028. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.1 | 45.56 |
| 2 | Gemini 3 Flash | 40.52 |
| 3 | Claude Sonnet 4 | 40.52 |
| 4 | InternVL3.5-8B | 26.57 |
Interactive version: theaggregate.ai/benchmark?slug=omnifood-bench-advisory-lipids · How It Works · Data refreshed daily, snapshot 2026-09-29.