← Back to glossaryGlossary

Token

Reviewed 19 July 2026Canonical definitionPart of: AI Agent Cost & Token Terms →

A token is the basic unit of text that a language model processes, typically a word, subword, or character. Token counts determine model input limits, output length, and cost. Token counts drive both cost and latency, so they are the usual unit for budgeting and capacity planning.

§01 / QUESTIONSterm: Token
Questions

Common questions.

What is Token?

A token is the basic unit of text that a language model processes, typically a word, subword, or character.

How does Token work?

Token counts determine model input limits, output length, and cost. Token counts drive both cost and latency, so they are the usual unit for budgeting and capacity planning.

Which terms are related to Token?

Closely related concepts include Inference Cost, LLM Gateway, Mixture of Experts (MoE), Token Economics. Each is defined in the Prefactor glossary.

§02 / RELATEDnext: where this fits
Keep reading

Where this fits.

See how every agent performs, and make it better

Prefactor helps teams observe, evaluate, and improve their AI agents in production, across every framework and provider.