MIR-SafetyBench - Logical Decomposition: leaderboard

MIR-SafetyBench attack success rate (percent of responses the HarmBench-Llama-2-13b-cls classifier labels harmful, lower is safer) on its decomposition instances, where a malicious goal is split into innocuous sub-questions that the model answers and then combines. Tsinghua CoAI group and Beihang University, 2026.

Metric: Attack Success Rate (%; lower is safer). Source: arxiv.org. Saturation forecast: Estimated already saturated. 19 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.110.43#225
2Gemini 3 Pro (Preview)39.23#111
3Gemini 2.5 Pro53.51#262
4Gemini 2.5 Flash64.85#452
5GPT-4o Mini69.39#1627
6QVQ-72B-Preview73.92#1173
7GPT-4o77.1#741
8InternVL3-78B85.49#733
9InternVL3-8B86.85#1695
10GLM-4.1V-9B (Thinking)87.53#1061 (GLM-4.1V-9B)
11InternVL3-38B88.44#905
12Qwen 2.5 VL 32B Instruct90.93#1055

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

Interactive version: theaggregate.ai/benchmark?slug=mir-safetybench-logical-decomposition · How It Works · Data refreshed daily, snapshot 2026-11-12.