OmniFood-Bench - Portion Size (Restaurant Food): leaderboard
Metric: Portion-size MAPE (%; mean absolute percentage error of the predicted weight in grams of the visible components of Restaurant 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
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4 | 47.43 |
| 2 | GPT-5.1 | 49.59 |
| 3 | Gemini 3 Flash | 57.53 |
| 4 | InternVL3.5-8B | 62.56 |
Interactive version: theaggregate.ai/benchmark?slug=omnifood-bench-portion-size-restaurant-food · How It Works · Data refreshed daily, snapshot 2026-09-29.