Guides & articles
Practical guides on estimating and reducing AI API costs. More in-depth articles are on the way — these guides live on the calculator page for now.
How AI API pricing works
The billing model behind every LLM provider: tokens, input vs output rates and optional charges.
How caching can reduce AI costs
Prompt caching can cut input costs 50–90% — when it applies and when it doesn't.
Common hidden costs of AI automation
Vector databases, retries, monitoring and human review: the costs that never show up on the pricing page.
How to reduce AI API costs
Seven practical levers, ordered by impact, to bring an LLM bill down without hurting quality.
Cheaper model vs premium model
A decision rule for picking the right price tier per task instead of defaulting to the flagship.