RoboRisk - Physical Harm Rate: leaderboard
RoboRisk - Physical Harm Rate: Harm rate (%). LEASH arXiv 2611.14115v1 Table 2: RoboRisk-S 92 simulation tasks x3 seeds=276 runs, RoboRisk-R 13 physical tasks x1=13; robot APIs use an adapted simulation subset of 39 runs. HR harm rate lower is better, SSR safe-success rate higher is better. Baseline and Jev-reviewed LEASH runs stay distinct. All simulation planners use high reasoning; physical planner reasoning is not reported here. Robot API rows are supported specialist systems, not generic chat checkpoints.
Metric: Harm rate (%). Source: arxiv.org. Saturation forecast: Around February 2027. 10 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-6 Astra | 15.38 | #6 |
| 2 | Gemini 4 Argon | 15.38 | #11 |
| 3 | Claude Opus 5.5 | 23.08 | #5 |
| 4 | GPT-6.1 Sol | 38.46 | #10 |
| 5 | Grok 4.7 | 76.92 | #43 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon.
Interactive version: theaggregate.ai/benchmark?slug=roborisk-physical-harm-rate · How It Works · Data refreshed daily, snapshot 2026-11-12.