The Five Important Tools for Controlling AI Costs
InfoWorld, Wednesday, September 9th, 2026
Model routing, semantic caching, prompt caching, reranking and response constraints are the levers that actually cut spend.
The article sets out five architectural strategies for controlling AI spend. Model routing sends simple tasks to cheaper models, using frameworks like RouteLLM to avoid frontier pricing for straightforward classification.
Semantic caching stores embeddings of prior queries so semantically similar questions are served at zero inference cost, while prompt caching pre-loads context at 50 to 90 percent token discounts with provider-specific implementation details.
Reranking filters retrieval results before expensive LLM consumption, typically cutting token counts by 80 percent while improving accuracy. Finally, structured outputs and stop sequences eliminate wasted output tokens.