MIR-SafetyBench - Spatial Juxtaposition: leaderboard

MIR-SafetyBench attack success rate (percent of responses the HarmBench-Llama-2-13b-cls classifier labels harmful, lower is safer) on its spatial-juxtaposition instances, where two scenes seen from different perspectives invite the model to infer the harmful actions linking them. Tsinghua CoAI group and Beihang University, 2026.

Metric: Attack Success Rate (%; lower is safer). Source: arxiv.org. Saturation forecast: Around February 2027. 19 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.117.47#225
2Gemini 3 Pro (Preview)41.78#111
3Gemini 2.5 Pro52.05#262
4GPT-4o Mini56.16#1627
5QVQ-72B-Preview72.26#1173
6Gemini 2.5 Flash74.32#452
7InternVL3-8B75.68#1695
8InternVL3-38B76.71#905
9GPT-4o77.05#741
10InternVL3-78B78.08#733
11GLM-4.1V-9B (Thinking)88.01#1061 (GLM-4.1V-9B)
12Qwen 2.5 VL 32B Instruct89.73#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-spatial-juxtaposition · How It Works · Data refreshed daily, snapshot 2026-11-12.