Anthropic's Advisor Strategy: Opus Intelligence at Sonnet Prices
Anthropic's new Advisor Strategy allows cheaper executor models like Sonnet or Haiku to consult the more capable Opus model for guidance on critical decisions, resulting in near-Opus performance at a fraction of the cost.
Why it matters
Anthropic's Advisor Strategy has the potential to make high-performance AI models like Opus accessible to a wider range of applications by dramatically reducing the cost.
Key Points
- 1Sonnet plus Opus advisor improved performance on a coding benchmark while reducing per-task cost by 11.9%
- 2Haiku plus Opus advisor more than doubled a browsing benchmark score while costing 85% less than Sonnet
- 3The advisor model provides strategic guidance without directly executing tasks, keeping the executor in control
- 4The integration is seamless, with a single API call handling the entire process
Details
Anthropic's new Advisor Strategy allows cheaper executor models like Sonnet or Haiku to call on the more capable Opus model for guidance on critical decisions during a task. The executor runs the full task end-to-end, but pauses to consult the advisor when it hits a decision it cannot confidently make alone. The advisor reviews the conversation transcript, provides a short plan or correction, and hands control back to the executor. This allows near-Opus level performance at a much lower cost than running Opus for the entire task. The integration is seamless, with a single API call handling the entire process without the need for orchestration logic or task decomposition. Benchmarks show significant improvements in performance while reducing per-task costs, making this a compelling strategy for agentic workflows where most turns are routine but a few critical decisions require frontier-level reasoning.
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