OmniFood-Bench - Cooking Method (Restaurant Food): leaderboard
Metric: Cooking-method accuracy (%; share of Restaurant Food images whose preparation technique the model classifies correctly; 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 March 2027. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.1 | 75.81 |
| 2 | Gemini 3 Flash | 69.35 |
| 3 | Claude Sonnet 4 | 67.57 |
| 4 | InternVL3.5-8B | 67.45 |
Interactive version: theaggregate.ai/benchmark?slug=omnifood-bench-cooking-method-restaurant-food · How It Works · Data refreshed daily, snapshot 2026-09-29.