RoboRisk - Simulation Safe Success: leaderboard
RoboRisk - Simulation Safe Success: Safe-success 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: Safe-success rate (%). Source: arxiv.org. Saturation forecast: Around February 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-6 Astra (High) | 78.99 | #6 (GPT-6 Astra) |
| 2 | Gemini 4 Argon (High) | 75 | #11 (Gemini 4 Argon) |
| 3 | GPT-6.1 Sol (High) | 72.1 | #10 (GPT-6.1 Sol) |
| 4 | GPT-6 Luna (High) | 23.19 | #93 (GPT-6 Luna) |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=roborisk-simulation-safe-success · How It Works · Data refreshed daily, snapshot 2026-11-12.