OpenRT: leaderboard

Twenty-six automated black-box jailbreak methods (template, cipher, persona, multi-turn and multi-agent attacks) try to get each model to fully comply with HarmBench harmful requests; the number is the mean share of attacks a GPT-4o-mini judge scores as full compliance. Unlike HarmBench's own table it attacks 2025 frontier models with one shared attacker model (DeepSeek-V3.2) for every method.

Metric: Mean attack success rate over 26 text jailbreak methods (%, lower is better). Source: arxiv.org. 20 models tracked.

Top models

#ModelScoreOverall rank
1Claude Haiku 4.511.44#568
2GPT-5.225.73#176
3Gemini 3 Pro (Preview)34.23#113
4GPT-5.137.38#229
5Qwen 3 Max37.6#403
6MiniMax-M239#674
7Qwen 3 Next 80B A3B Instruct41.88#766
8Grok 4.1 Fast42.85#430
9Hunyuan A13B-Instruct43.44#2015
10Llama 4 Maverick Instruct47.4#1133
11Qwen 3 235B A22B 2507 (Thinking)49.23#463
12GLM-4.652.38#486
13Seed-1.655.58#448
14Llama 4 Scout Instruct60.44#1543
15ERNIE 4.5 300B A47B62.54#1087

Interactive version: theaggregate.ai/benchmark?slug=openrt · How It Works · Data refreshed daily, snapshot 2026-11-13.