This article outlines a formula for calculating the unit economics of AI features in marketplaces, emphasizing the importance of defining the correct unit of analysis: the completed transaction. It details how to calculate AI costs per transaction and their share of net revenue, using specific token costs for models like Claude Sonnet 5.5, Claude Haiku 5.5, GPT-6 Luna, and Gemini 3.8 Flash. The post also highlights that the model bill is only a fraction of the total AI cost, with additional expenses including retrieval, data preparation, and human review. AI
IMPACT Provides a framework for marketplace engineers to assess the profitability of AI features, crucial for sustainable AI integration.
RANK_REASON Article provides a framework and formula for calculating AI costs in marketplaces, drawing on existing guides and citing specific models and pricing.
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