NutriBench-Kitchen - Ingredient Entry (Hard): leaderboard
Ingredient Entry in NutriBench-Kitchen (Wei et al., 2026): questions on identifying an ingredient in a cooking video and estimating its quantity or nutritional value, in the hard regime: different multi-turn questions without the frame hint. Score in percent (accuracy on multiple-choice questions, mean relative accuracy on numerical ones); higher is better.
Metric: Score (%; the ingredient entry task family, hard regime: different, multi-turn questions without the frame hint; NutriBench-Kitchen: 1,500 manually verified questions on 160 cooking videos (145 HD-EPIC segments and 15 self-recorded videos with measured ingredient quantities); accuracy on multiple-choice questions and mean relative accuracy on numerical ones; zero-shot with the same chain-of-thought prompt for every model). Source: arxiv.org. Saturation forecast: Around August 2027. 12 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-4o | 16.7 | #741 |
| 2 | Gemini 2.5 Pro | 14.7 | #262 |
| 3 | GLM-4.1V-9B (Thinking) | 4 | #1061 (GLM-4.1V-9B) |
| 4 | Qwen 2.5 VL 7B Instruct | 3.3 | #1842 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=nutribench-kitchen-ingredient-entry-hard · How It Works · Data refreshed daily, snapshot 2026-11-12.