Cursor's new research indicates that using a frontier model for planning and a cheaper model for execution can significantly reduce total token costs, achieving a 15X cost improvement for agentic systems. This multi-model routing based on task stage is emerging as a core design pattern for complex agents, driving greater overall efficiency.
Multi-model orchestration materially lowers inference costs for agentic workloads, shifting demand towards cheaper models for execution and increasing efficiency.