Agent Routing for Cost Reduction May Not Save Money
Roger_M_Taylor · x · 2026-07-12
This post discusses why an LLM agent routing layer might "seem to route some requests to cheaper models, yet the bill barely drops." The core reasons are:
- Agents aren't single calls; they are multi-turn chains involving planning, tool usage, and result analysis.
- Each step feeds the continuously accumulating context back into the model, causing token consumption to grow with the workflow.
- Therefore, simply adding a classifier at the entry point to route "simple requests" to cheaper models is often insufficient to yield expected savings.
The cited article also mentions a 100% local, minimalist setup: adding a layer in front of any agent to send each prompt to the "cheapest model that can handle it," claiming this approach is used by teams like Coinbase.
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