MMJailBench - Cyber & Tech Abuse: 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 Cyber & Tech Abuse domain (malware, hacking and agent-abuse 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; Cyber & Tech Abuse 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-53.06#163
2Claude Sonnet 4.515.11#244
3Gemini 3 Flash39.61#159
4Kimi K2.553.28#252
5Grok 4 Fast55#438
6InternVL3-8B63.11#1695
7Ministral 3 8B66.83#2036
8Qwen 2.5 VL 7B Instruct67.28#1842
9Seed 2.0 Lite68.39#286
10Gemma 3 12B82.94#2013
11GLM-4.6V93.06#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-cyber-tech-abuse · How It Works · Data refreshed daily, snapshot 2026-11-12.