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...
Specs
scaledown/extractHow to use ScaleDown: Extract in your app
The quickest way is through an API gateway such as OpenRouter, which uses the same format as the OpenAI API. Create a key, then send a request with the model ID scaledown/extract:
Prefer no code? Many tools in our AI tools directory run on models like this one.
More models from Scaledown
Questions about ScaleDown: Extract
What is ScaleDown: Extract?
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...
How big is the context window of ScaleDown: Extract?
ScaleDown: Extract can read up to 1,000,000 tokens in one request, roughly 750,000 words.
Is ScaleDown: Extract open source?
ScaleDown: Extract does not have downloadable weights. You use it through Scaledown or an API provider.
What can ScaleDown: Extract take as input?
ScaleDown: Extract accepts text, image, file and produces text.
Latest AI models
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...
Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than...
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token...
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...
Specs and prices come from OpenRouter and the provider, and are refreshed daily. Last checked 13 Oct 2026.