HELM VHELM - Mmmu - Agriculture: leaderboard
VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Agriculture: college-level multiple-choice questions over images from the MMMU validation set for this subject; 30 questions, prefix quasi-exact match. Percent correct, 0-100, higher is better; a small sample.
Metric: Prefix Quasi-Exact Match (%). Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 48 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro (Preview 03-25) | 76.67 | #126 |
| 2 | O3 (2025-04-16) | 73.33 | #125 |
| 3 | GPT-4.5 | 70 | #278 |
| 4 | GPT-4.1 (2025-04-14) | 66.67 | #257 |
| 5 | GPT-4o (2024-05-13) | 66.67 | #337 |
| 6 | O4 Mini (2025-04-16) | 66.67 | #183 |
| 7 | Gemini 2.0 Flash | 63.33 | #351 |
| 8 | GPT-4o Mini (2024-07-18) | 63.33 | #568 |
| 9 | GPT-4o (2024-08-06) | 63.33 | #343 |
| 10 | Gemini 2.0 Flash (Preview) | 63.33 | #376 |
| 11 | Gemini 1.5 Pro (002) | 60 | #368 |
| 12 | Gemini 1.5 Flash (002) | 60 | #587 |
| 13 | Llama 4 Scout Instruct | 60 | #547 |
| 14 | Llama 4 Maverick Instruct FP8 | 60 | #424 |
| 15 | GPT-4o (2024-11-20) | 60 | #392 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=helm-vhelm-mmmu-agriculture · How It Works · Data refreshed daily, snapshot 2026-11-05.