PAC-Bench: leaderboard
Metric: Joint accuracy (%): share of PAC-Bench's 100 human-validated two-agent scenarios in which the pair satisfies every task requirement (LLM-judged) and every privacy constraint (keyword filter plus G-Eval), both agents being the same model; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 4 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.1 | 56 |
| 2 | Claude Sonnet 4.5 | 24 |
| 3 | Qwen 3 32B (Thinking) | 15 |
| 4 | Llama 3.3 70B Instruct | 6 |
Interactive version: theaggregate.ai/benchmark?slug=pac-bench · How It Works · Data refreshed daily, snapshot 2026-10-07.