Model routing, prompt caching, and batching are the three highest-leverage LLM cost optimization moves, commonly cutting 40 to 70% on routed requests and up to 95% when stacked. Here are all seven strategies ranked by impact, plus why the real metric to track isn’t cost per token but cost per outcome. The post LLM cost optimization: 7 strategies to cut inference spend appeared first on CloudZero .