AgentHarm: leaderboard

Safety benchmark for LLM agents with 110 explicitly malicious multi-step tasks across 11 harm categories, testing both refusal and harmful task-completion after attacks.

Metric: Harm score (%). Source: huggingface.co. Source: benchmarklist.com. Saturation forecast: Estimated already saturated. 39 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 1.0 Pro7.4#933
2Gemini 1.5 Pro15.7#445
3Gemini 1.5 Flash20.7#618
4GPT-3.5 Turbo62#865

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=agentharm · How It Works · Data refreshed daily, snapshot 2026-10-20.