Understand Token Costs in AI APIs

Language models split text into tokens that may be a word, part of a word, a symbol, or whitespace according to the model's tokenizer. Token count therefore does not equal word count, and the ratio can differ across Arabic, English, and different models.

Many APIs price input and output separately. Input may include system instructions, conversation history, and retrieved content—not only the user's latest message. Other models price images, audio, caching, or tools differently, so there is no single formula that applies to every provider.

Record the usage returned by the API for each request and attribute it to the feature, customer, and environment. Remove unnecessary context, specify the expected response length, and choose the smallest model that meets the quality target. Set spending limits, alerts, and cost tests, and always check current pricing and documentation before making a financial estimate.