From "cheapest" to "best fit": the evolution of AI model routing
jasonkneen · x · 2026-08-24
The post argues that the shift from cost-saving to quality-matching is key for AI "Auto Mode". True success is achieved when automatic routing outperforms manually selecting the best model. The author shares experiences tuning auto-routing by monitoring timing, sentiment, and deterministic responses, suggesting that memory is no longer a bottleneck and that optimization now focuses on tokens, speed, cost, and accuracy.
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