How Reading AI Image Pricing Pages Can Slash Stock Generation Costs

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A stock-photo seller recounts spending more on AI image generation in one weekend than they earned in three months of sales. They realized the pricing page functions as a technical specification that determines how a generation pipeline should be built, covering billing units, refunds for failed outputs, and free-tier limits. Generating at the maximum resolution was wasteful because stock platforms' review criteria don't reward extra pixels, so they switched to the smallest qualifying tier and upscaled only when needed. Requesting batches of variations and selecting the best one proved cheaper and improved their acceptance rate. The author also stresses that images rejected during metadata checks waste money already spent, making correct CSV formatting essential.

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