OmniFood-Bench - Advisory (Kidney): leaderboard

Metric: Advisory accuracy (%; share of images for which the model gives the annotated intake recommendation - normal, controlled or avoid - for a kidney 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
1GPT-5.140.73
2Gemini 3 Flash39.31
3Claude Sonnet 437.1
4InternVL3.5-8B31.37

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