HELM VHELM - Robustness: leaderboard

The "Robustness" 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)88.3#124
2Gemini 2.0 Pro (Preview 02-05)82.98#305
3O4 Mini (2025-04-16)81.91#181
4O3 (2025-04-16)79.26#123
5Gemini 2.0 Flash (Preview)72.87#366
6Gemini 1.5 Flash (002)68.62#585
7O1 (2024-12-17)68.09#152
8Gemini 2.0 Flash67.02#344
9GPT-4.564.89#276
10GPT-4.1 (2025-04-14)63.83#250
11Gemini 1.5 Pro (002)62.23#350
12GPT-4.1 Mini61.7#351
13GPT-4o Mini (2024-07-18)61.7#561
14Gemini 2.0 Flash Lite60.11#453
15GPT-4o (2024-11-20)59.57#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-robustness · How It Works · Data refreshed daily, snapshot 2026-10-23.