Pricing & Cost

LLM Cost Optimization

Quick Answer

Strategies for reducing API costs through model selection, caching, and prompt engineering.

LLM cost optimization includes: model selection (cheaper smaller models), prompt caching, batch processing, reducing input tokens, and code optimization. Semantic caching stores results to avoid recomputation. Prompt compression reduces tokens. Right-sizing models matters—don't use large models for simple tasks. Cost optimization can reduce bills 50%+. Optimization requires measuring and iterating. Cost-conscious teams implement multiple strategies.

Last verified: 2026-04-08

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