HELM VHELM - Vqa Dialect: leaderboard

The "Vqa Dialect" 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: PEM (Fairness). Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 48 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.0 Flash (Preview)83.4#366
2GPT-4.583.4#276
3GPT-4o (2024-05-13)83#326
4Gemini 2.0 Flash Lite81#453
5Gemini 1.5 Flash (002)80.6#585
6GPT-4.1 (2025-04-14)80.6#250
7GPT-4o (2024-08-06)80.5#335
8O3 (2025-04-16)80.4#123
9GPT-4.1 Mini80.3#351
10Gemini 2.0 Flash79.4#344
11Gemini 1.5 Pro (002)79.3#350
12GPT-4o (2024-11-20)79.2#378
13Llama 4 Scout Instruct78.9#542
14Gemini 2.5 Pro (Preview 03-25)78.4#124
15Claude 3.5 Sonnet (20241022)77.5#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-vqa-dialect · How It Works · Data refreshed daily, snapshot 2026-10-23.