Overview
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...
Our take
ScaleDown: Extract is best suited for developers and researchers requiring highly specific data extraction from text and images. Unlike general-purpose chatbots such as Claude or ChatGPT, which offer broad conversational capabilities, Extract focuses on defining and retrieving custom entities based on plain English descriptions. This makes it particularly useful for scenarios such as sifting through extensive research papers to pull out specific methodologies, participant demographics, or experimental results, all defined on the fly. Its 1,000,000-token context window is notably larger than many alternatives, allowing for the processing of substantial documents or datasets, and its vision capability means it can also extract information from image inputs. While it lacks tool or function calling support, its low API price of $0.04 per 1M input tokens positions it as a cost-effective option compared to roughly 75% of similar models. Ideal for those who need precise, description-driven entity extraction from large text or image volumes without requiring a free tier or broader conversational AI features.
How ScaleDown: Extract stacks up
Among the 380 chatbots & llms tools in our directory, it ranks #131 of 375 on quality (8.3/10), 3% above the 375-tool average of 8.1, and its $0.04/1M input-token rate is in the budget end — 98% cheaper than the 363-model average of $1.94/1M.
Weighing quality against cost, ScaleDown: Extract's cost-per-quality-point of $0.00 places it in the top 3% for value among chatbots & llms tools.
ScaleDown: Extract in depth
ScaleDown: Extract, built by Scaledown, sits in the chatbots & llms space and is a paid tool starting at $0.04/1M tokens. Our editors rate it 8.3 out of 10 based on capability, ecosystem and value. It handles a context window of 1,000,000 tokens.
On the feature side, ScaleDown: Extract brings 1,000,000-token context window and vision (image input). These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.
Its biggest strength is low api price — $0.04 per 1m input tokens, cheaper than roughly 75% of comparable models, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.
ScaleDown: Extract is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.
Key features
- ✓1,000,000-token context window
- ✓Vision (image input)
Pricing
Pros
- +Low API price — $0.04 per 1M input tokens, cheaper than roughly 75% of comparable models
- +Large 1,000,000-token context window, bigger than most models listed here
- +Accepts images as input (vision-capable)
Cons
- −No free tier — usage is billed per token
- −No tool / function calling support
Who should use ScaleDown: Extract
- →Anyone looking for a chatbots & llms tool from Scaledown.
- →Teams and individuals focused on research and writing.
- →People who value low api price — $0.04 per 1m input tokens, cheaper than roughly 75% of comparable models.
- →Workflows that need a 1,000,000 tokens context window.
Who should look elsewhere
- →Anyone who needs a free tier — this tool is paid only.
- →Those for whom no free tier — usage is billed per token is a dealbreaker.
- →Users who can't accept that no tool / function calling support.
Best for
10 Best ScaleDown: Extract Alternatives in 2026
ScaleDown: Extract is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to ScaleDown: Extract, ranked and compared.
Anthropic
Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…
OpenAI
ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…
Google DeepMind
Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…
Moonshot AI
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3…
MiniMax
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across…
DeepSeek
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the…
Meta
Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers…
NVIDIA
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out…
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and…
Meta
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks.
ScaleDown: Extract vs top alternatives
A side-by-side look at how ScaleDown: Extract stacks up against its closest rivals.
| Feature | ScaleDown: ExtractScaledown | ClaudeAnthropic | ChatGPTOpenAI | GeminiGoogle DeepMind |
|---|---|---|---|---|
| Quality score | 8.3 / 10 | 9.6 / 10 | 9.5 / 10 | 9.2 / 10 |
| Starting price | $0.04/1M tokens | $20/mo | $20/mo | $20/mo |
| Free tier | No | Yes — Free tier available | Yes — Free tier available | Yes — Free tier available |
| API input price | $0.04 / 1M tokens | $0.1 / 1M tokens | $2 / 1M tokens | $2 / 1M tokens |
| API output price | $0 / 1M tokens | $0.5 / 1M tokens | $10 / 1M tokens | $10 / 1M tokens |
| Speed | — | Fast | Fast | Fast |
| Context window | 1,000,000 tokens | 200K tokens | 128K tokens | 1M-2M tokens |
| Categories | Chatbots & LLMs | Chatbots & LLMs, Coding, Writing | Chatbots & LLMs, Coding, Writing | Chatbots & LLMs, Coding, Writing |
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Frequently asked questions
Q. Is ScaleDown: Extract free?
No — ScaleDown: Extract is a paid tool, starting at $0.04/1M tokens.
Q. How much does ScaleDown: Extract cost?
ScaleDown: Extract starts at $0.04/1M tokens. API usage is around $0.04 per 1M input tokens and $0 per 1M output tokens.
Q. What is ScaleDown: Extract best for?
ScaleDown: Extract is best suited to research and writing, within the chatbots & llms category.
Q. What are the best ScaleDown: Extract alternatives?
Popular alternatives to ScaleDown: Extract include Claude, ChatGPT, Gemini and MoonshotAI: Kimi K3.1 Pro. Each trades off price, quality and ecosystem differently.
Q. Is there a free alternative to ScaleDown: Extract?
Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.
Q. Why switch from ScaleDown: Extract?
Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token; No tool / function calling support), data-privacy requirements, or simply wanting a tool that fits your stack better.
How we rate AI tools
Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.
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