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What does it cost to build with AI?

Two costs stack up: the usage cost of the AI model (billed per token) and the cost of building the product around it. As of July 2026, mid-tier models run roughly $2 to $3 per million input tokens and $10 to $15 per million output tokens, with budget models under $0.50 and frontier models higher.

Per-request math is usually small. A typical question and answer might use a few thousand tokens, a fraction of a cent. Costs become real at scale, or when you feed in large documents on every call. Caching, picking a cheaper model for simple steps, and trimming context all cut the bill.

The bigger line item is almost always the build: designing the feature, connecting your data, testing for accuracy, and shipping something reliable. The model API is often the cheapest part of an AI project.

Updated July 2026

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