OmniFood-Bench - Nutritional Profile (Packaged Food): leaderboard

Metric: Nutritional-profile MAPE (%; mean absolute percentage error of the predicted macronutrient grams of Packaged Food images, lower is better and unbounded above; 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 April 2027. 6 models tracked.

Top models

#ModelScore
1GPT-5.180.07
2Claude Sonnet 488.66
3Gemini 3 Flash167.92
4InternVL3.5-8B216.76

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