Cost per task: Using cheap classifiers to route across Gemini models and thinking levels
News#AI Workflows••3 min read

Cost per task: Using cheap classifiers to route across Gemini models and thinking levels

Summary

Per-token API prices keep falling, yet engineering bills for autonomous coding agents keep climbing....

Key points

  • • Cost per task: Using cheap classifiers to route across Gemini models and thinking levels - Google Developers Blog Cost per task: Using cheap classifiers to route across Gemini models and thinking levels NOV.
  • • The 7-bucket breakdown shows where gemini-3.5-flash-lite and the heuristic router missed tasks and how Router Jev: Flash-Lite to 3.8 LOW recovered 100% accuracy: The strongest setup without a router was Gemini 3.8 Flash on low thinking.
  • • We ran a 50-question, auto-graded, coding-agent benchmark against live Gemini and Jev APIs to test whether a near-free classifier can route each task to the cheapest model that still gets it right.

Source: Google Developers. This is an automatic extract of an article published by another outlet, not Zebeh's own reporting. Read the original for the full story and context.

Read the original on Google Developers
Share This Intelligence

Distribute these verified findings, benchmarks, and insights across your network.

Have a technical question or implementation inquiry regarding this guide? Reach our team directly at info@zebeh.com.

More news

View All News