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Model Routing Can Cut LLM Costs ~10X: Cascading, Semantic, and Learned Approaches
ByteByteGo·September 9, 2026
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Summary
Mixing small/medium/large models by request difficulty can cut average cost to ~11% of an all-frontier-model baseline. Covers classifier-based routing, cascading, semantic routing, and learned routing, plus failure modes (under/over-routing, prompt-injection on routing logic, router staleness) and recommends fixed safety rules for high-stakes query categories regardless of router opinion.
Why this signal
Matches Neo's confirmed HIGH SIGNAL calibration on AI cost management — a concrete architecture Thomas Engineering could evaluate for its own token spend, paired well with the Spotify 'shunt' routing example from the same week.
Original email
ByteByteGo · 9/9/2026
How Smart Model Routing Can Cut LLM Costs by 10X