HELM VHELM - Toxicity: leaderboard

The "Toxicity" 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
1O4 Mini (2025-04-16)95.74#181
2GPT-4.591.49#276
3O3 (2025-04-16)89.36#123
4O1 (2024-12-17)87.23#152
5Gemini 2.5 Pro (Preview 03-25)85.11#124
6Llama 4 Scout Instruct82.98#542
7Llama 4 Maverick Instruct FP876.6#412
8Gemini 2.0 Flash74.47#344
9GPT-4.1 Mini70.21#351
10Claude 3.5 Sonnet (20241022)67.02#291
11Gemini 2.0 Pro (Preview 02-05)67.02#305
12Gemini 2.0 Flash Lite63.83#453
13Gemini 1.5 Pro (002)59.57#350
14GPT-4o (2024-11-20)55.32#378
15GPT-4 Turbo51.06#406

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