HELM VHELM - Real World Qa: leaderboard

The "Real World Qa" 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: EM. Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 48 models tracked.

Top models

#ModelScoreOverall rank
1O3 (2025-04-16)79.74#123
2Gemini 2.5 Pro (Preview 03-25)77.52#124
3O4 Mini (2025-04-16)76.08#181
4GPT-4.1 Mini74.38#351
5Gemini 2.0 Flash (Preview)72.94#366
6O1 (2024-12-17)72.29#152
7Gemini 2.0 Pro (Preview 02-05)72.29#305
8Gemini 2.0 Flash70.59#344
9Llama 4 Maverick Instruct FP869.67#412
10Gemini 2.0 Flash Lite68.89#453
11GPT-4.1 (2025-04-14)68.37#250
12GPT-4o (2024-11-20)67.97#378
13Gemini 1.5 Pro (002)65.36#350
14Gemini 1.5 Flash (002)64.97#585
15Claude 3.5 Sonnet (20241022)63.4#291

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-real-world-qa · How It Works · Data refreshed daily, snapshot 2026-10-23.