AI routing explained: task rules, performance prediction, and cost-quality tradeoffs
TheTuringPost · x · 2026-11-15
Turing Post breaks down AI routing: the router deciding which model, tool, or policy handles a request can be a rule set, classifier, small neural net, or another LLM.
Three decision modes:
- Route by task type: send coding to coding models, but a one-line edit and a hard bug don't need equal resources
- Predict each candidate's performance on the specific input from prior run data
- Quality-vs-cost weighing: the more cost matters, the bigger a quality edge an expensive model needs
Key pitfall: picking the most frequent winner isn't picking the best expected outcome — one model wins often but crashes hard, another rarely tops but stays consistently strong.
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