In the news
Cost per task: Using cheap classifiers to route across Gemini models and thinking levels- Google Developers Blog
Google Developers · Published · 3 min read
In 30 seconds
- What happened
- Google tested using lightweight classifiers to route coding tasks between Gemini models, finding routers can reduce cost and latency versus running expensive reasoning on all tasks.
- Why it matters
- Matters for engineers building autonomous agents where per-task cost dominates budgets and many decisions don't require expensive reasoning models.
- Watch out
- Results from 50 hand-labeled tasks with simple grading; real production workloads with context caching and longer prompts may see different tradeoffs between routing and caching.
- gemini
The patterns behind this
Each one covers how the technique works, when it earns its cost, and where it breaks.
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