MIR-SafetyBench - Semantic Complementarity: leaderboard
MIR-SafetyBench attack success rate (percent of responses the HarmBench-Llama-2-13b-cls classifier labels harmful, lower is safer) on its complementarity instances, where a harmful image is cut into tiles that the model must reassemble before answering. 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.1 | 8.57 | #225 |
| 2 | Gemini 3 Pro (Preview) | 32.5 | #111 |
| 3 | Gemini 2.5 Pro | 38.21 | #262 |
| 4 | GPT-4o Mini | 49.64 | #1627 |
| 5 | Gemini 2.5 Flash | 60.71 | #452 |
| 6 | GPT-4o | 61.79 | #741 |
| 7 | InternVL3-78B | 65.71 | #733 |
| 8 | QVQ-72B-Preview | 74.29 | #1173 |
| 9 | InternVL3-8B | 74.64 | #1695 |
| 10 | InternVL3-38B | 83.93 | #905 |
| 11 | Qwen 2.5 VL 32B Instruct | 88.57 | #1055 |
| 12 | GLM-4.1V-9B (Thinking) | 88.93 | #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-semantic-complementarity · How It Works · Data refreshed daily, snapshot 2026-11-12.