How do LLMOps systems control operational cost at scale?

Cost is controlled using caching, routing, model selection, and token optimization strategies.

LLMOps cost management focuses on reducing expensive model calls. Techniques include semantic caching (reusing previous answers), dynamic model routing (using smaller models when possible), prompt compression, and limiting max tokens. Systems also monitor cost per request and enforce budgets per user or feature.