How to route LLM requests by task difficulty (a practical guide to cutting API spend without losing quality)
This story is from 2026-09-05. It is preserved in the archive; the latest stories are on the live feed.
If you run language models in production, there is a good chance your bill is dominated by one frontier model that became the default because it was the model the demo was built on. Routing by task difficulty is the fix: send each request to the most cost-efficient model that can complete it, and r…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-09-05 07:50 · DEV Community — AI
How to route LLM requests by task difficulty (a practical guide to cutting API spend without losing quality)