MIR-SafetyBench - Logical Causality: leaderboard
MIR-SafetyBench attack success rate (percent of responses the HarmBench-Llama-2-13b-cls classifier labels harmful, lower is safer) on its causality instances, where a harmful outcome is shown and the model is asked to infer the process that leads to it. 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.1 | 21.43 | #225 |
| 2 | Gemini 3 Pro (Preview) | 46.79 | #111 |
| 3 | GPT-4o Mini | 53.57 | #1627 |
| 4 | Gemini 2.5 Pro | 58.93 | #262 |
| 5 | QVQ-72B-Preview | 73.21 | #1173 |
| 6 | InternVL3-8B | 73.93 | #1695 |
| 7 | Gemini 2.5 Flash | 75.71 | #452 |
| 8 | InternVL3-78B | 77.14 | #733 |
| 9 | GPT-4o | 78.21 | #741 |
| 10 | Qwen 2.5 VL 32B Instruct | 82.5 | #1055 |
| 11 | InternVL3-38B | 84.64 | #905 |
| 12 | GLM-4.1V-9B (Thinking) | 90 | #1061 (GLM-4.1V-9B) |
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-causality · How It Works · Data refreshed daily, snapshot 2026-11-12.