ScaleDown models on Tokenator
Every ScaleDown model available through Tokenator: API ID, context window, usage multiplier and current availability. The key and the base URL stay the same for every model in the catalog — switching models takes one request parameter.
Classify-1 is a structured decision model from ScaleDown, served through OpenRouter's Decisions API. It scores text or a document against caller-defined choice, yes/no, and ordered-scale questions and returns calibrated probabilities rather than generated prose, making it suited for routing, moderation, intent detection, and domain tagging inside an application. It is request-compatible with TypeSafe's Jev Decisions API.
Extract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through provider.options.scaledown.entities, and the model returns each matching span with a confidence score, character offsets, and surrounding context. It is suited for pulling structured values out of contracts, invoices, emails, and transcripts, and includes built-in OCR so scanned images and PDFs work without a separate step.
Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source, and is suited for document review, transcript digests, and RAG pre-processing where retrieved content must be shortened before reaching another model. Format, focus, language, and length are steered through the system prompt, while sampling is fixed to a configuration tuned for faithful output.
3 ScaleDown models in the catalog, 3 available right now, context up to 1M tokens, multiplier ×0.5–×0.9