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ScaleDown launches constrained decoding models for classify, extract, and summarize tasks

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ScaleDown releases Constrained Decoding Models, which classify, extract, or summarize 1M tokens of text and image input without generating output token by token.

The company says the models run 200x faster and 467x cheaper than frontier LLM APIs, at $0.05 per million input tokens with free output.

It reports 77.2% on DecisionBench against 72% for Jev and is available through OpenRouter, Vercel, LiteLLM, LangChain, and other platforms.

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@omarsar0

1M-token, multimodal decision models are here!

But there is more to this one.

You can classify, extract, and summarize with 1M tokens of text and image input.

ScaleDown's Constrained Decoding Models read the input once and point straight to the answer, with no token-by-token generation.

200x faster, 467x cheaper than frontier LLM APIs.

Neal Patel@neal_k_patel
You already gave the LLM the answer. So why is it writing it out from scratch? Introducing a new AI model architecture: Constrained Decoding Models (CDMs) LLMs were built to write. Most production workloads just need an answer: fast, consistent, and affordable. CDMs are purpose-built for 1 task each. They read your input once and skip the token-by-token generative loop that makes LLMs slow and expensive. Not just a decision model, but a family of 3 CDMs live today: • Classify: define your labels and get back a calibrated probability + reason for each. Used for routing, tagging, and intent detection. • Extract: describe the entities in natural language and get back well-formed JSON with confidence scores + citations. Used for web scraping, document processing, and PII redaction. • Summarize: pass in long text, images, or PDFs and get back a consistent summary under 1,000 tokens. Used for context compaction, metadata generation, and transcript digests. Built for production: • 1M tokens of multimodal (text + image) input, 31x larger than Jev • 77.2% on DecisionBench vs Jev's 72% • 200x faster, 467x cheaper than frontier LLM APIs • $0.05/M input tokens. Output is free (yes, even for summarize) Live on your favorite platforms today: @OpenRouter @vercel_dev @LiteLLM @LangChain @TrustedRouter @itsArthurAI @useRouterPlus Get 50M input tokens for free (for the first 50 hours) at link below 👀
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Source: elvis · x.comPublished · added here