MT-AgentRisk: leaderboard
Metric: Attack success rate (%): share of all 365 tasks the agent completes, on MT-AgentRisk multi-turn attack sequences (365 harmful tool-use tasks from OpenAgentSafety, SafeArena, P2SQL and harmful-converted MCPMark Notion tasks, each split by a taxonomy of addition and decomposition attacks into 2 to 7 innocuous-looking turns), each model as an OpenHands agent with real MCP tools at default settings and no defense; a GPT-4.1 judge labels each trajectory complete, rejected or failed; lower is better. Source: arxiv.org. 6 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.2 (Medium) | 39.73 | #105 (GPT-5.2) |
| 2 | Claude Sonnet 4.5 | 71.78 | #138 |
| 3 | Seed-1.6 | 73.15 | #257 |
| 4 | Qwen3 Coder | 78.08 | #285 |
| 5 | Gemini 3 Flash | 78.9 | #93 |
| 6 | DeepSeek V3.2 | 84.93 | #198 |
Interactive version: theaggregate.ai/benchmark?slug=mt-agentrisk · How It Works · Data refreshed daily, snapshot 2026-10-11.