Google Developers · AI 筛选·· 15 hours agoSelectedAI score74
Google details how to route tasks across Gemini models and thinking levels using lightweight classifiers to cut per-task costs
Cost per task: Using cheap classifiers to route across Gemini models and thinking levels
AI guide
The Google Developers Blog published a practical guide on task routing across Gemini models and thinking levels, noting that the key metric for evaluating AI agent economics has shifted to cost per successful task.
Why it matters
Based on a 50-problem coding benchmark, the article reveals that limiting output tokens does not reduce thinking budgets, offering practical strategies for routing across models with lightweight classifiers to drive down per-task costs.
Source:Google Developers · AI 筛选 · developers.googleblog.com