Building Cost-Effective AI Agent Teams with Mixed Models

Running AI agent teams on a single frontier model incurs unnecessary costs because most agent tasks don't require advanced reasoning. By assigning different model tiers to different agents—reserving expensive models for complex reasoning and using cheaper alternatives for routine work—teams can dramatically slash costs while maintaining quality. This mixed-model approach is especially critical at production scale, where cost per inference directly impacts system profitability and ROI.