Skip to content
Serverless inferenceEdition of 12 Nov 2026
Serverless Inference PricesRuncrate Reference
Try Runcrate

Glossary

Per million tokens

Answer in brief

Per million tokens is the unit serverless prices are quoted in: the dollars charged for one million tokens of input or of output.

Per million tokens in practice

To price a request, multiply its tokens by the rate and divide by one million. Do it once for input and once for output, then add the two.

The unit makes rates easy to compare across hosts. It says nothing about precision, context window or limits, which sit beside the rate.

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.

Per million tokens is the unit serverless prices are quoted in: the dollars charged for one million tokens of input or of output.

Sources for this entry

  1. Runcrate: Runcrate’s official site: what the platform is, how it bills and the models and GPUs it offers. Read 12 Nov 2026.
  2. 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.
  3. 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.
  4. 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.

Continue this reading path

Cite this entry

Serverless Inference Prices. “Per million tokens.” Content reviewed 12 Nov 2026. https://serverlessinferenceprices.com/glossary/per-million-tokens