Know your AI generation cost before you run the code

Alvin Liu — Sun, 02 Aug 2026 06:26:27 +0000

When you build with image or video generation APIs, the bill usually surprises you after the fact. Input tokens, output tokens, image resolution, seconds of video - you only see the total at the end of the month.

There is a simpler pattern: know the price before you send the request.

The problem with post-hoc pricing

Most visual AI providers calculate cost after generation:

You pick a model and some settings
The job runs
You get charged by tokens, pixels, or seconds
Your invoice arrives later

That works, but it makes budgeting awkward when you run a lot of jobs, or when you let users generate content in your own product.

What pre-flight pricing looks like

With Pixapi, you choose a supported model and settings, and the API returns the required credits before you commit. You know instantly whether a generation is inside your budget.

Some example prices (check current pricing for the live numbers):

Nano Banana from 2 credits (roughly $0.02)
Supported routes typically 20-49% below official list prices

One key, one balance

You do not need separate keys or balances per model family. A single Bearer key and credit balance covers:

Image generation
Image editing
Async video generation (Veo, Kling, Wan, and more)

Practical tips

Always read the estimated credits from the pre-flight response and cache it for your UI
For async video routes, poll the job status endpoint instead of blocking
Set a hard credit budget client-side so a runaway job cannot drain the balance

Docs: https://pixapi.ai/docs

This article was originally published at pixapi.ai - canonical source.

DEV Community: Alvin Liu

Know your AI generation cost before you run the code

The problem with post-hoc pricing

What pre-flight pricing looks like

One key, one balance

Practical tips