MMJailBench - Sensitive Regulated Advice: leaderboard

MMJailBench (Wang et al., 2026) is a factorized multimodal jailbreak benchmark: 272 harmful intents crossed with six prompt framings, five task-relevant visual contexts and text or in-image instructions, 16,320 instances per model. This board covers the Sensitive Regulated Advice domain (unlicensed medical, legal and high-risk financial advice requests) across all framings, visual contexts and carriers. Attack success rate in percent, the share of responses a GPT-5 judge scores 4 or 5 on a 1-5 harmfulness rubric; lower is better.

Metric: Attack success rate (%; share of responses a GPT-5 judge scores 4 or 5 on a 1-5 harmfulness rubric; Sensitive Regulated Advice domain, 30 harmful intents across all framings, visual contexts and carriers). Source: arxiv.org. Saturation forecast: Estimated already saturated. 16 models tracked.

Top models

#ModelScoreOverall rank
1GPT-53.56#163
2Claude Sonnet 4.511.22#244
3InternVL3-8B27.39#1695
4Kimi K2.530.72#252
5Qwen 2.5 VL 7B Instruct33.44#1842
6Gemini 3 Flash36.61#159
7Ministral 3 8B38.06#2036
8Grok 4 Fast40.33#438
9Seed 2.0 Lite46.44#286
10Gemma 3 12B51.39#2013
11GLM-4.6V59.89#698

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

Interactive version: theaggregate.ai/benchmark?slug=mmjailbench-sensitive-regulated-advice · How It Works · Data refreshed daily, snapshot 2026-11-12.