Performance · REPRODUCIBLE GUIDE

AI Image API Cost per Image: An Accepted-Output Method

Calculate image API cost per accepted output by including retries, failed generations, resolution, review effort, and storage.

One API gateway for multiple AI models.

APIMart is a multi-model AI API gateway with an OpenAI-compatible endpoint. Use one account to access supported image models, compare current pricing, and choose a cost-efficient option for each workload.

Create an APIMart account ↗
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WHY THIS GUIDE EXISTS

Test the workflow,
not the marketing claim.

Headline unit pricing is not enough for procurement, so this method records provider-reported cost beside retry count, latency, rejection reasons, and the human work required to turn a generated file into a usable asset.

Ecommerce

Ceramic skincare hero

Editorial product photograph of a matte ceramic skincare bottle on pale limestone, soft north-window light, delicate contact shadow, warm neutral palette, 85mm lens compression, no text, no logo.
Clean premium product hero1:1
Ecommerce

Running shoe impact

Technical running shoe frozen above a red clay track at impact, fine dust particles suspended in air, directional hard sunlight, visible outsole detail, energetic diagonal composition, commercial sports photography.
Dynamic footwear campaign4:5
Characters

Forest ranger character sheet

Character sheet for Mara, a forest ranger with cropped auburn hair, olive field jacket, brass compass and worn canvas backpack; front, profile and three-quarter views; neutral studio background; consistent facial features.
Identity consistency fixture3:2
Design

Music festival poster

Experimental electronic music festival poster, oversized condensed type placeholders, electric blue field, silver halftone sphere, asymmetric Swiss grid, high contrast screen-print texture, leave all wording blank.
Poster composition test2:3
PYTHON QUICKSTART

Keep the request reproducible.

Store credentials in the environment. Record the exact model identifier, dimensions, test date, and retry count with the resulting asset.

import os
from openai import OpenAI

client = OpenAI(
  api_key=os.environ["APIMART_API_KEY"],
  base_url="https://api.apimart.ai/v1",
)

result = client.images.generate(
  model="gpt-image-1-official",
  prompt=PROMPT,
  size="1024x1024",
  n=1,
)
REVIEW CHECKLIST

Before you publish a result