How do you reduce LLM inference cost?

Reduce cost by routing simple queries to smaller models, caching common requests, using prompt compression, reducing few-shot examples after collecting fine-tuning data, deploying open models for high-volume tasks while reserving frontier models for hard cases, and monitoring per-feature spend to catch regressions early.