AI

Cutting LLM Costs Without Cutting Quality

Caching, routing, and right-sizing models to keep an AI feature's bill sane at scale.

By Sara KhanDecember 12, 20257 min read

LLM features are easy to ship and easy to overspend on. A few patterns keep the bill proportional to the value.

Cache aggressively

Many prompts repeat. Caching identical and semantically similar requests can cut spend dramatically with zero quality loss.

Route to the right model

Not every request needs your most expensive model. Route simple tasks to smaller, cheaper models and reserve the big one for genuinely hard queries.

Spend tokens wisely

Tighter prompts, trimmed context, and structured outputs all reduce token count. Measure cost per request and treat it as a budget, not an afterthought.

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