HELM VHELM - Crossmodal 3600: leaderboard

The "Crossmodal 3600" subtask of HELM VHELM. Stanford HELM's VHELM project, the holistic evaluation of vision-language models: image-grounded question answering, OCR, chart and diagram reading, spatial reasoning, robustness, bias, fairness and toxicity scenarios scored under one ha...

Metric: Prometheus Vision rating. Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 48 models tracked.

Top models

#ModelScoreOverall rank
1O4 Mini (2025-04-16)3.96#181
2GPT-4 Turbo3.72#406
3GPT-4.1 Mini3.7#351
4Claude 3.5 Sonnet (20241022)3.65#291
5Gemini 2.5 Pro (Preview 03-25)3.65#124
6O3 (2025-04-16)3.61#123
7GPT-4.1 (2025-04-14)3.53#250
8Claude 3.5 Sonnet (20240620)3.52#298
9GPT-4o Mini (2024-07-18)3.52#561
10O1 (2024-12-17)3.49#152
11GPT-4.53.38#276
12Gemini 1.5 Pro (002)3.36#350
13Gemini 2.0 Pro (Preview 02-05)3.35#305
14GPT-4.1 Nano3.31#735
15GPT-4o (2024-11-20)3.3#378

No result here: #4 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=helm-vhelm-crossmodal-3600 · How It Works · Data refreshed daily, snapshot 2026-10-23.