DeepSeek: DeepSeek V4 Flash Vision Exp (batch) vs ScaleDown: Extract
Neither wins outright: DeepSeek: DeepSeek V4 Flash Vision Exp (batch) is the pick when you need tool / function calling, ScaleDown: Extract when cost matters at scale.
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 Flash Vision Exp (batch)
ScaleDown: Extract
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$14.85
$3.00
ScaleDown: Extract saves $11.85
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$16.50
$4.80
ScaleDown: Extract saves $11.70
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)
$17.16
$4.80
ScaleDown: Extract saves $12.36
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$10.78
$3.20
ScaleDown: Extract saves $7.58
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$5.83
$2.00
ScaleDown: Extract saves $3.83
Capabilities side by side
Capability
DeepSeek: DeepSeek V4 Flash Vision Exp (batch)
ScaleDown: Extract
What 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
✓ Yes
read screenshots, charts and scanned pages
Audio input
—
—
take speech or audio directly
File / PDF input
—
✓ Yes
accept 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)
—
—
repeat a generation for tests and evals
Log-probabilities
✓ Yes
—
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
DeepSeek: DeepSeek V4 Flash Vision Exp (batch): price unchanged since we started tracking it on 2026-09-09.
ScaleDown: Extract: price unchanged since we started tracking it on 2026-10-14.
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 log-probabilities — to read token confidence for classification and scoring; 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 $14.85 a month for 50,000 support chats)
you need file / PDF input — to accept documents without your own parsing step; DeepSeek: DeepSeek V4 Flash Vision Exp (batch) does not advertise it
Frequently asked questions
Is DeepSeek: DeepSeek V4 Flash Vision Exp (batch) better than ScaleDown: Extract?
Neither wins outright: DeepSeek: DeepSeek V4 Flash Vision Exp (batch) is the pick when you need tool / function calling, ScaleDown: Extract when cost matters at scale. In short: DeepSeek: DeepSeek V4 Flash Vision Exp (batch) when you need tool / function calling, you need structured output (JSON schema), you need reasoning / thinking mode, you need log-probabilities; ScaleDown: Extract when cost matters at scale, you need file / PDF input.
Which is cheaper, DeepSeek: DeepSeek V4 Flash Vision Exp (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 $14.85.
How much do DeepSeek: DeepSeek V4 Flash Vision Exp (batch) and ScaleDown: Extract cost per million tokens?
DeepSeek: DeepSeek V4 Flash Vision Exp (batch) costs $0.11 per 1M input tokens and $0.33 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 Flash Vision Exp (batch) or ScaleDown: Extract?
DeepSeek: DeepSeek V4 Flash Vision Exp (batch): 1.0M tokens, about 1,573 pages, against 1M (about 1,500 pages) for ScaleDown: Extract.
Do DeepSeek: DeepSeek V4 Flash Vision Exp (batch) and ScaleDown: Extract support function calling and JSON output?
Can DeepSeek: DeepSeek V4 Flash Vision Exp (batch) or ScaleDown: Extract read images?
Yes, both accept image input.
Is DeepSeek: DeepSeek V4 Flash Vision Exp (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 Flash Vision Exp (batch) and ScaleDown: Extract?
DeepSeek: DeepSeek V4 Flash Vision Exp (batch) can write up to 944K tokens (about 707,800 words) per response; ScaleDown: Extract up to 900K (about 675,000 words).
When were DeepSeek: DeepSeek V4 Flash Vision Exp (batch) and ScaleDown: Extract released?
DeepSeek: DeepSeek V4 Flash Vision Exp (batch) was listed on 2026-08-21; ScaleDown: Extract on 2026-10-13.
DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...
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...