ScaleDown: ScaleDown Extract

scaledown/extract

Try ScaleDown Extract for free in your browser, and add it to your app for free with Puter.js AI API.

Try it free Add to your app

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "scaledown/extract"
}).then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "scaledown/extract"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

ScaleDown Extract is a task-specific small language model from ScaleDown, an applied AI research lab that builds small models for compression, summarization, extraction and classification. Its name indicates it is intended for information extraction.

The model has a 1,000,000-token context window with up to 900,000 output tokens. Input costs $0.04 per million tokens and output is free, so long documents can be processed at a low cost.

ScaleDown has said its models are cheaper and faster than general-purpose large models for these narrow tasks. Those figures are the company's own and are not independently verified.

It suits developers who need to pull specific facts or structured fields out of long documents, logs or transcripts without paying for a large general model. It accepts text input through the standard chat completions interface.

Context Window 1M

tokens

Max Output 900K

tokens

Input Cost $0.04

per million tokens

Output Cost $0

per million tokens

Release Date Oct 13, 2026

Try ScaleDown Extract for free

Try ScaleDown Extract instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat scaledown/extract

Chat with ScaleDown Extract

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ScaleDown Summarize

ScaleDown Summarize is a text summarization model from ScaleDown, a provider of task-specific small language models. It produces abstractive summaries, meaning the output is newly written text rather than extracted sentences. The last user message is treated as the source text. A system message can give instructions for the summary, and max_tokens limits its length. The result is returned as a JSON string with a summary key. The model accepts text only, has a 1,000,000-token context window, and produces up to 4,000 output tokens. Function calling and image or file inputs are not supported. Input is priced at $0.04 per million tokens and output is free, which makes long documents inexpensive to process. It suits applications that condense long documents, transcripts, articles, or support threads, and pipelines that need a summary step without a general-purpose chat model.

Frequently Asked Questions

How do I use ScaleDown Extract?

You can access ScaleDown Extract by ScaleDown through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Can I try ScaleDown Extract for free?

ScaleDown Extract is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.

Is the ScaleDown Extract API free for developers?

ScaleDown Extract is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.

What is the pricing for ScaleDown Extract?

ScaleDown Extract costs $0.04 per 1M input tokens and $0 per 1M output tokens.

	Price per 1M tokens
Input	$0.04
Output	$0

Who created ScaleDown Extract?

ScaleDown Extract was created by ScaleDown and released on Oct 13, 2026.

What is the context window of ScaleDown Extract?

ScaleDown Extract supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,000 pages of text.

What is the max output length of ScaleDown Extract?

ScaleDown Extract can generate up to 900K tokens in a single response.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the ScaleDown Extract API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Add ScaleDown Extract to your app for free

Developers can integrate ScaleDown Extract for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

Get started How pricing works