RoboRisk - Physical Safe Success: leaderboard

RoboRisk - Physical 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. 10 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra69.23#6
2Gemini 4 Argon61.54#11
3Claude Opus 5.553.85#5
4GPT-6.1 Sol46.15#10
5Grok 4.723.08#43

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon.

Interactive version: theaggregate.ai/benchmark?slug=roborisk-physical-safe-success · How It Works · Data refreshed daily, snapshot 2026-11-12.