Glossary
Serverless inference
Answer in brief
Serverless inference is calling a model that a host runs for you and paying per token, with no machine to start, size or stop.
Serverless inference in practice
The host keeps the model loaded and shares its GPUs among callers. You pay nothing while idle. In return the host chooses the precision, the context window and the limits.
It suits uneven traffic, small volumes and testing. Steady, heavy traffic is where a dedicated GPU starts to compare.
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.
Serverless inference is calling a model that a host runs for you and paying per token, with no machine to start, size or stop.
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. “Serverless inference.” Content reviewed 12 Nov 2026. https://serverlessinferenceprices.com/glossary/serverless-inference