Output Token
Definition
Output tokens are the units of a response generated by the language model.
A token generated by a language model as part of its response; counting and billing depend on the tokenizer and provider used.
Simply explained
The response consists of counted text units; their division depends on the method used.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
A process limits generated tokens and still checks whether the result is complete.
Limits and pitfalls
- Equating tokens with words or confusing output limits with the entire context window.
Origin & history
With API-based language models, input and output tokens became operational and cost metrics.
Use in mid-sized companies
- Possible application: A process limits generated tokens and still checks whether the result is complete.
Frequently asked questions
What does output token mean?
A token generated by a language model as part of its response; counting and billing depend on the tokenizer and provider used. What errors should be avoided? Equating tokens with words or confusing output limits with the entire context window.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: