MuPPET: leaderboard
LLM agents are increasingly deployed in multi-party environments, handling sensitive personal data on behalf of individual users, for instance in group chats. When such an agent discloses private information, it reaches every group member at once. This risk is structurally harder to control than in one-to-one settings, as every piece of private information must be appropriate for every recipient i
Metric: Multi-Party (self-reported). Source: benchmarklist.com. 7 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro | 23.46 | #152 |
| 2 | GPT-5.5 | 26.71 | #31 |
| 3 | Qwen 3 4B | 59.26 | #829 |
| 4 | Qwen 3 14B | 63.35 | #537 |
| 5 | Qwen 3 8B | 70.37 | #674 |
Interactive version: theaggregate.ai/benchmark?slug=muppet · How It Works · Data refreshed daily, snapshot 2026-10-20.