MME-Safety - Harmful Rate: leaderboard

The share of final answers containing harmful content in MME-Safety (Shi et al., 2026), over 3,801 manually verified image-text pairs with harmful intent, balanced over nine risk categories and nine combinations of image and text stealth level, judged by GPT-4o. Percent; lower is better.

Metric: Harmful rate (%; share of final answers to 3,801 manually verified image-text pairs with harmful intent across nine risk categories and nine image/text stealth combinations, zero-shot; GPT-4o judge whose response contains harmful content; lower is better). Source: arxiv.org. Saturation forecast: Around February 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 235B A22B Instruct11.31#521
2Claude Sonnet 4 (Thinking)11.87#397 (Claude Sonnet 4)
3Claude 3.7 Sonnet12.8#455
4Claude 3.7 Sonnet (Thinking)13.96#455 (Claude 3.7 Sonnet)
5O4 Mini15.32#354
6Qwen 3 VL 235B A22B (Thinking)15.34#451
7Qwen 3 VL 32B (Thinking)17.5#557
8Qwen 3 VL 8B (Thinking)19.83#887
9Gemini 3 Pro34.42#135

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=mme-safety-harmful-rate · How It Works · Data refreshed daily, snapshot 2026-11-12.