Artificial intelligence token volume counts the units of text or other tokenized data consumed and produced during model use. Providers commonly measure input and output separately because they can require different computation and carry different prices.
Token volume helps estimate demand, infrastructure capacity and variable cost, but it is not a direct measure of business value. A large volume can reflect useful adoption, inefficient prompts, repeated retries or automated traffic, so it should be interpreted with outcome and quality metrics.
