The art of AI routing: picking the right model per request without the pitfalls
TheTuringPost · x · 2026-11-15
Turing Post breaks down LLM routing: a router can be a rule set, a classifier, a small neural net, or another LLM.
Strategies
- Route by task type (e.g., coding to a coding model)—but a one-line edit and a hard bug don't need the same resources
- Predict how each candidate performs on the specific input using data from previous runs
- Weigh predicted quality against cost: the more cost matters, the bigger the quality edge an expensive model needs
Pitfalls
- Picking the most likely winner isn't the same as picking the best expected result: one model wins often but crashes hard, another rarely comes first yet stays consistently strong.
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