DiningBench - Nutrition Estimation: leaderboard

Metric: Mean absolute percentage error (%) of the estimated calories, protein, carbohydrates and fat (mean of the four MAPEs) over the 1,650 DiningBench nutrition-estimation dishes (multi-view restaurant photos; ground truth from merchant labels or ingredient-based estimates cross-checked against USDA FoodData Central); lower is better. Source: arxiv.org. Saturation forecast: Around February 2027. 29 models tracked.

Top models

#ModelScore
1Gemini 3 Pro (Preview)24.45
2Gemini 3 Flash (Preview)25.21
3GPT-532.17
4O4 Mini33.95
5Qwen 3 VL 30B A3B Instruct37.35
6Gemini 2.5 Pro38.21
7GPT-4.138.6
8Qwen 3 VL 8B Instruct39.24
9Qwen 2.5 VL 32B Instruct39.84
10Qwen 3 VL 30B A3B (Thinking)40.22
11Qwen 2.5 VL 72B Instruct40.56
12Gemini 2.5 Flash41.6
13GPT-4o42.43
14Qwen 3 VL 4B Instruct42.55
15Claude Sonnet 4.542.62

Interactive version: theaggregate.ai/benchmark?slug=diningbench-nutrition-estimation · How It Works · Data refreshed daily, snapshot 2026-10-07.