FAM-Bench: leaderboard
Food-as-Medicine requires models to reason beyond what a dish is or what nutrition it contains: they must decide whether a concrete food choice is appropriate for a specific health condition. Existing food AI benchmarks primarily evaluate dish recognition, recipe understanding, nutrient estimation, or general nutrition question answering, leaving this health-aware decision layer largely untested.
Metric: Task 1 Acc. (self-reported). Source: benchmarklist.com. Saturation forecast: Around July 2027. 25 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro | 82.8 | #152 |
| 2 | GPT-5.4 | 82.4 | #79 |
| 3 | Claude Sonnet 4.6 | 81.2 | #90 |
| 4 | Qwen 3 VL 8B Instruct | 75.73 | #420 |
| 5 | Gemma 3 12B (IT) | 71.8 | #664 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=fam-bench · How It Works · Data refreshed daily, snapshot 2026-10-20.