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Favicon for scaledown

Scaledown

Access 3 Scaledown models through the OpenRouter unified API including Summarize, Extract, and Classify-1. Compare pricing, context windows, benchmarks, and capabilities between different Scaledown models.

Scaledown tokens processed on OpenRouter

  • Favicon for scaledown
    ScaleDown: SummarizeSummarize
    20% off
    10.8M tokens

    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. Learn more in ScaleDown's docs: https://docs.scaledown.ai/api-reference/summarize-overview

    by scaledownOct 13, 20261M context$0.04/M input tokens$0/M output tokens
  • Favicon for scaledown
    ScaleDown: ExtractExtract
    20% off
    7.75M tokens

    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. Learn more in ScaleDown's docs: https://docs.scaledown.ai/api-reference/extract-overview

    by scaledownOct 13, 20261M context$0.04/M input tokens$0/M output tokens
  • Favicon for scaledown
    ScaleDown: Classify-1Classify-1
    20% off
    185M tokens

    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. Learn more in ScaleDown's docs: https://docs.scaledown.ai/api-reference/decisions-overview

    by scaledownOct 13, 2026$0.04/M input tokens$0/M output tokens

Frequently asked questions

OpenRouter serves 3 Scaledown models behind one OpenAI-compatible API. Create an OpenRouter API key, point your client at https://openrouter.ai/api/v1, and set the model to an ID such as scaledown/summarize. The quickstart has request examples for every supported SDK.

Summarize has the largest context window of any Scaledown model on OpenRouter, accepting up to 1,000,000 tokens per request.

Summarize is the most recently added Scaledown model on OpenRouter, listed on October 13, 2026.