ForesightSafety Bench (Embodied AI Safety) - Equipment and Environment Safety: leaderboard

Metric: Violation rate (%) over the equipment and environment safety scenarios: unsafe robot task instructions from the paper's ForesightSafetyBench-EmbodiedAI-O set, given to the model as a robot task planner; a violation is an unsafe instruction the model executes instead of refusing, judged by gpt-4o-2024-11-20 (the paper's primary evaluator) with a PAIR-style rating prompt; lower is better. Source: arxiv.org. 22 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.24.64#105
2Gemini 3 Flash (Preview)7.04#78
3Gemini 2.5 Flash10.13#237
4GLM-4.730.73#185
5Kimi K2 090547.55#282
6Qwen 3 235B A22B 2507 Instruct47.81#291
7Grok 4 Fast (Non-reasoning)50.82#242 (Grok 4 Fast)
8Llama 4 Maverick51.16#451
9GPT-4o (2024-11-20)51.67#369
10Grok 452.1#169
11Qwen 2.5 72B Instruct53.13#436
12Llama 3.3 70B Instruct53.82#520
13Claude 3.5 Haiku53.91#553
14DeepSeek V3.254.76#198
15Kimi K2.556.31#139

Interactive version: theaggregate.ai/benchmark?slug=foresightsafety-bench-embodied-ai-safety-equipment-and-environment-safety · How It Works · Data refreshed daily, snapshot 2026-10-11.