This article provides a detailed analysis of the billing logic of AI tokens, helping you understand the difference between input and output tokens in the big model API, the cost calculation formula, and common billing misconceptions. By comparing hypothetical cases, visually demonstrate the impact of Prompt length and context usage on AI costs, and introduce practical methods such as Prompt compression, model selection, cache optimization, and usage monitoring to help you control API call costs reasonably and improve the cost-effectiveness of AI usage.

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