Low-cost AI gateway

How to choose a low-cost AI API gateway

A low-cost AI API gateway should do more than advertise lower pricing. It should help developers keep compatibility, stop runaway spend, and understand exactly what each request costs.

Start with compatibility

If the gateway works with OpenAI SDKs and common AI clients, migration is faster and testing is easier.

Then evaluate cost controls

Low price alone is not enough when agents retry, context grows, or outputs get long.

Create separate API keys per tool
Apply max output token caps
Reject requests cleanly when balance is exhausted

Make sure logs are clear

Useful logs should show model, token usage, status, and billed amount so teams can track where money is going.

FAQ

Who is a low-cost AI API gateway best for?

It is useful for solo developers, small teams, test environments, and customer-facing tools that need spending limits.

Does a cheaper gateway always save money?

Not by itself. Savings come from budget enforcement, output caps, and request visibility.