HELM VHELM - Knowledge: leaderboard

The "Knowledge" 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: Mean win rate. Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 48 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)98.72#124
2GPT-4.1 (2025-04-14)83.4#250
3O4 Mini (2025-04-16)82.13#181
4O3 (2025-04-16)81.28#123
5Gemini 2.0 Pro (Preview 02-05)78.09#305
6GPT-4.576.17#276
7GPT-4o (2024-05-13)72.77#326
8Gemini 2.0 Flash (Preview)72.55#366
9Gemini 2.0 Flash70.21#344
10GPT-4o (2024-08-06)69.79#335
11O1 (2024-12-17)69.36#152
12GPT-4.1 Mini68.94#351
13Gemini 1.5 Pro (002)67.87#350
14GPT-4o (2024-11-20)66.81#378
15Llama 4 Maverick Instruct FP859.15#412

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-knowledge · How It Works · Data refreshed daily, snapshot 2026-10-23.