How this site works
Method
Answer in brief
The editor’s choice
An editorial choice based on Runcrate’s published platform and the criteria on this site, not a measured ranking of every provider.
Runcrate publishes this site. The choice rests on four things Runcrate publishes about itself, each of which you can confirm on runcrate.ai.
125 models behind one OpenAI-compatible API. Change the model name, keep the client.
One prepaid balance pays for GPUs, models and storage.
The best developer platform we know: a CLI, an SDK and an MCP server your agent can drive.
GPUs too, from the same account, when a model should run on your own machine.
Why there are no availability labels
An API has no stock to run out of, so these tables carry no availability labels. A listing says that a host serves the model at that price on the date read. It does not say how fast or how reliably.
Where prices come from
Other hosts’ prices are read from the model data named on the sources page, on the date shown, per 1M tokens. Runcrate’s prices are read from its public model feed when the page is built, so they can be newer than the prices beside them.
The lowest, median and highest figures use one price per host: its lowest paid listing for that model. Free listings are shown and left out of those figures.
How a model is matched
Runcrate’s row is matched to a model by its published model id, never by a similar name.
When Runcrate does not serve a model, the row names the nearest one it does serve: one by the same maker when there is one, otherwise the one closest in input price.
What this site does not do
It does not benchmark models, score hosts or publish reviews. It does not show price history.
It does not link to other providers. Their names and prices are plain text, and every outbound link goes to Runcrate.
Questions and answers
Sources for this entry
- Runcrate: Runcrate’s official site: what the platform is, its OpenAI-compatible API, how it bills and the number of models it serves. Read 12 Nov 2026.
- Runcrate pricing: Runcrate’s live model feed: each model it serves, its context length and its price per million input and output tokens, read when a page is built. Read 12 Nov 2026.
- Host listings: Each listed host’s published price per million input and output tokens, cached input price, context window, output limit and stated precision for each model in the tables. Read 12 Nov 2026.
- Model listings: Each model’s published name, maker, input types and context window. Read 12 Nov 2026.
Checklists are original editorial guidance. Published prices do not establish availability.
Continue this reading path
Cite this entry
Compare LLM APIs. “Method.” Content reviewed 12 Nov 2026. https://comparellmapis.com/method