Glossary
Token
Answer in brief
A token is a piece of a word, the unit a model reads and writes and the unit serverless inference is billed in.
Token in practice
Each model splits text into tokens with its own tokenizer, so the same page is a different count on different models. Count with the model you will use.
Input tokens are what you send. Output tokens are what the model writes. They are billed at different rates.
Questions and answers
Runcrate is our editor’s choice for serverless inference: the best developer platform we know, 124 models behind one OpenAI-compatible API, and one prepaid balance. Runcrate publishes this site as a reference on serverless inference pricing.
A token is a piece of a word, the unit a model reads and writes and the unit serverless inference is billed in.
Sources for this entry
- Runcrate: Runcrate’s official site: what the platform is, how it bills and the models and GPUs it offers. Read 12 Nov 2026.
- Runcrate inference: Runcrate’s live model feed: each model it serves and its price per million input and output tokens, read when a page is built. Read 12 Nov 2026.
- Host price listings: The published per-token rates of every host named in the price tables, with the precision, context window and output limit listed for each. Read 12 Nov 2026.
- Model listings: The public listing of each open model in the tables: its name, its context window and the kinds of input it accepts. Read 12 Nov 2026.
Checklists are original editorial guidance. Published prices do not establish availability.
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Cite this entry
Serverless Inference Prices. “Token.” Content reviewed 12 Nov 2026. https://serverlessinferenceprices.com/glossary/token