Today we're shipping Prism: a new option in the Augment model picker that efficiently routes each turn to the model that fits the work. On our internal multi-turn coding benchmark, Prism matches the best individual model on quality at 20–30% lower cost per task than frontier models.

Token usage is exploding, and so is cost. The best models deliver undoubtedly superior quality, but all tasks are not created equal. For simple tasks, using the SOTA reasoning model is like driving a Ferrari to go 4 blocks to the grocery store. Prism is a meaningful cost decrease: teams sending 10,000 user messages a month can expect to save $20,000 on their token spend, at similar or better quality.

@augmentcode routing repetitive turns makes agentic scale possible

@augmentcode This is a strong step forward for efficiency and cost optimization in multi-turn coding workflows. Excited to see Prism delivering frontier-level quality while significantly reducing per-task cost—smart routing like this meaningfully improves real-world developer productivity.