Stanford Introduces Collaborative Intelligence Benchmark for Agent Teamwork
Individual benchmark scores poorly predict how useful a model is on a team — the gap of up to 11 points between near-equal models gives builders a new selection signal for multi-agent stacks. The persistence of detected cheats through code handoffs is a concrete red flag for anyone running agent handover pipelines. Developers building agent teams can start with the 160 public tasks and the code and data on arXiv (2611.02633).
