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DeepSeek: DeepSeek V4.1 Flash (batch) vs ScaleDown: Extract

Neither wins outright: DeepSeek: DeepSeek V4.1 Flash (batch) is the pick when you need tool / function calling, ScaleDown: Extract when cost matters at scale.

Key numbers

SpecDeepSeek: DeepSeek V4.1 Flash (batch)ScaleDown: Extract
ProviderDeepSeekScaledown
Input price (per 1M tokens)$0.11$0.04
Output price (per 1M tokens)$0.34$0
Blended price (3:1 input/output)$0.17$0.03
Cheaper than … of all models we track73%89%
Context window1.0M tokens (~1,573 pages)1M tokens (~1,500 pages)
Larger context than … of all models81%69%
Max output per response131K tokens (~98,300 words)900K tokens (~675,000 words)
Input typestext, imagetext, image, file
Output typestexttext
Free variantNoNo
Listed since2026-09-102026-10-13

What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)DeepSeek: DeepSeek V4.1 Flash (batch)ScaleDown: ExtractDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$15.12$3.00ScaleDown: Extract saves $12.12
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$16.80$4.80ScaleDown: Extract saves $12.00
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$17.47$4.80ScaleDown: Extract saves $12.67
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$10.98$3.20ScaleDown: Extract saves $7.78
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$5.94$2.00ScaleDown: Extract saves $3.94

Capabilities side by side

CapabilityDeepSeek: DeepSeek V4.1 Flash (batch)ScaleDown: ExtractWhat it lets you do
Tool / function calling✓ Yes—call your APIs and run agent loops
Structured output (JSON schema)✓ Yes—return JSON that validates against your schema
Reasoning / thinking mode✓ Yes—spend extra tokens thinking before answering hard problems
Image input✓ Yes✓ Yesread screenshots, charts and scanned pages
Audio input——take speech or audio directly
File / PDF input—✓ Yesaccept documents without your own parsing step
Image output——generate images, not just text
Built-in web search——answer from live web results
Seed (reproducible sampling)✓ Yes—repeat a generation for tests and evals
Log-probabilities——read token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

Which should you choose?

Choose DeepSeek: DeepSeek V4.1 Flash (batch) if…

  • you need tool / function calling — to call your APIs and run agent loops; ScaleDown: Extract does not advertise it
  • you need structured output (JSON schema) — to return JSON that validates against your schema; ScaleDown: Extract does not advertise it
  • you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; ScaleDown: Extract does not advertise it
  • you need seed (reproducible sampling) — to repeat a generation for tests and evals; ScaleDown: Extract does not advertise it

Choose ScaleDown: Extract if…

  • cost matters at scale — it is 82% cheaper on a typical 3:1 input/output mix ($3.00 vs $15.12 a month for 50,000 support chats)
  • you need file / PDF input — to accept documents without your own parsing step; DeepSeek: DeepSeek V4.1 Flash (batch) does not advertise it
  • you generate long outputs in one go — up to 900K tokens (about 675,000 words) per response

Frequently asked questions

Is DeepSeek: DeepSeek V4.1 Flash (batch) better than ScaleDown: Extract?

Neither wins outright: DeepSeek: DeepSeek V4.1 Flash (batch) is the pick when you need tool / function calling, ScaleDown: Extract when cost matters at scale. In short: DeepSeek: DeepSeek V4.1 Flash (batch) when you need tool / function calling, you need structured output (JSON schema), you need reasoning / thinking mode, you need seed (reproducible sampling); ScaleDown: Extract when cost matters at scale, you need file / PDF input, you generate long outputs in one go.

Which is cheaper, DeepSeek: DeepSeek V4.1 Flash (batch) or ScaleDown: Extract?

ScaleDown: Extract is cheaper: $0.03 vs $0.17 per 1M tokens at a typical 3:1 input/output mix, 82% less. For 50,000 support conversations a month that is $3.00 against $15.12.

How much do DeepSeek: DeepSeek V4.1 Flash (batch) and ScaleDown: Extract cost per million tokens?

DeepSeek: DeepSeek V4.1 Flash (batch) costs $0.11 per 1M input tokens and $0.34 per 1M output tokens; ScaleDown: Extract costs $0.04 input and $0 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, DeepSeek: DeepSeek V4.1 Flash (batch) or ScaleDown: Extract?

DeepSeek: DeepSeek V4.1 Flash (batch): 1.0M tokens, about 1,573 pages, against 1M (about 1,500 pages) for ScaleDown: Extract.

Do DeepSeek: DeepSeek V4.1 Flash (batch) and ScaleDown: Extract support function calling and JSON output?

Tool calling — DeepSeek: DeepSeek V4.1 Flash (batch): yes, ScaleDown: Extract: not advertised. JSON-schema structured output — DeepSeek: DeepSeek V4.1 Flash (batch): yes, ScaleDown: Extract: not advertised.

Can DeepSeek: DeepSeek V4.1 Flash (batch) or ScaleDown: Extract read images?

Yes, both accept image input.

Is DeepSeek: DeepSeek V4.1 Flash (batch) or ScaleDown: Extract free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of DeepSeek: DeepSeek V4.1 Flash (batch) and ScaleDown: Extract?

DeepSeek: DeepSeek V4.1 Flash (batch) can write up to 131K tokens (about 98,300 words) per response; ScaleDown: Extract up to 900K (about 675,000 words).

When were DeepSeek: DeepSeek V4.1 Flash (batch) and ScaleDown: Extract released?

DeepSeek: DeepSeek V4.1 Flash (batch) was listed on 2026-09-10; ScaleDown: Extract on 2026-10-13.

About the two models

Scaledown

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...

Full ScaleDown: Extract specs →

Compare DeepSeek: DeepSeek V4.1 Flash (batch) with other models

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Compare ScaleDown: Extract with other models

vs AI21: Jamba Large 1.7vs AionLabs: Aion 3.5vs AionLabs: Aion 3.5 Minivs AionLabs: Aion-1.0
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