scaledown-summarize
ScaleDown Summarize is an abstractive summarization model: it condenses long text and documents into a fluent, faithful rewrite instead of copying sentences from the source. Send the material as a normal message; only input tokens are billed.
Pricing: Input 9.6 credits / 1M tokens (≈ $0.05), Output 0 credits / 1M tokens (≈ $0.00).
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ScaleDown Summarize API on ModelFold
ScaleDown Summarize is an abstractive summarization model: it condenses long text and documents into a fluent, faithful rewrite instead of copying sentences from the source. Send the material as a normal message; only input tokens are billed. Try ScaleDown Summarize in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the ScaleDown Summarize API
ScaleDown Summarize at a glance
ScaleDown Summarize is a chat model from ScaleDown. It accepts text, images and files (such as PDF) as input and returns text, with a context window of up to 1M tokens.
Use it without hosting anything
On ModelFold you call ScaleDown Summarize with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of ScaleDown Summarize
Up to 1M tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands images and files (such as PDF)
Besides text, ScaleDown Summarize accepts images and files (such as PDF) as input, so a single request can combine instructions with visual or other media.
How to Use ScaleDown Summarize on ModelFold
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Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how ScaleDown Summarize responds before writing any code.
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Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "scaledown-summarize" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with ScaleDown Summarize
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Writing and content
Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.
Frequently Asked Questions
What is ScaleDown Summarize?⌄
ScaleDown Summarize is an abstractive summarization model: it condenses long text and documents into a fluent, faithful rewrite instead of copying sentences from the source. Send the material as a normal message; only input tokens are billed.
Which inputs does ScaleDown Summarize support?⌄
ScaleDown Summarize accepts text, images and files (such as PDF) and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of ScaleDown Summarize?⌄
Up to 1M tokens, shared between your input and the model’s output.
Does ScaleDown Summarize support function calling?⌄
Function calling is not listed for ScaleDown Summarize; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is ScaleDown Summarize billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call ScaleDown Summarize through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "scaledown-summarize", using your ModelFold API key as the Bearer token.
| Input | 9.6 credits 1M tokens≈ $0.05 |
| Output | 0 credits 1M tokens≈ $0.00 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"scaledown-summarize","messages":[{"role":"user","content":"Hello"}]}'