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Favicon for scaledown

ScaleDown: Extract

scaledown/extract

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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-overviewOpens in new tab

Modalities
In / Out Price
20% off
$0.04 / $0per 1M
Context
1.0M
Released
Oct 13, 2026
Compare
ProvidersPricingPerformanceUptimeAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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$0.05$0.04Free1.66s179 tps
48.15%
Throughput
179tok/s

P50, best across providers

Latency
1.66s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
99.90%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
77.94%

Availability over the last 3 days

Last 72 hours
Availability 77.94%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
84.04%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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Frequently asked questions

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.

Extract costs $0.04/M input tokens and $0.00/M output tokens.

Extract has a 1,000,000 token context window.

No. Extract does not accept tools, so function calling is unavailable. It does not support response_format, so JSON output is not enforced.

Extract accepts text, images, and files such as PDFs as input and returns text.

Summarize and Classify-1 are other text models from Scaledown.

Extract was released on October 13, 2026.

More models from Scaledown

Summarize

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

Text1M context$0.04 / $0
Classify-1

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

Decisions$0.04 / $0