Summary

Anthropic's advisor strategy enables pairing high-intelligence models like Opus with cheaper models like Sonnet or Haiku to optimize AI task performance and cost-efficiency. By using an advisor model only for complex reasoning steps and a less expensive executor model for simpler tasks, developers can achieve near-Opus level intelligence at a fraction of the original cost. Experimental evaluations showed performance improvements, such as a 2.7 percentage point increase on the SWE bench and nearly 12% reduction in task costs when using Sonnet with Opus as an advisor. The strategy provides a flexible approach for developers to intelligently allocate computational resources and minimize expenses across different AI modeling tasks.