Anthropic: Claude Haiku 5.5 (batch) vs ScaleDown: Extract

Neither wins outright: Anthropic: Claude Haiku 5.5 (batch) is the pick when you need tool / function calling, ScaleDown: Extract when cost matters at scale.

Key numbers

SpecAnthropic: Claude Haiku 5.5 (batch)ScaleDown: Extract
ProviderAnthropicScaledown
Input price (per 1M tokens)$0.05$0.04
Output price (per 1M tokens)$0.25$0
Blended price (3:1 input/output)$0.10$0.03
Cheaper than … of all models we track81%89%
Context window1M tokens (~1,500 pages)1M tokens (~1,500 pages)
Larger context than … of all models69%69%
Max output per response128K tokens (~96,000 words)900K tokens (~675,000 words)
Input typestext, image, filetext, image, file
Output typestexttext
Free variantNoNo
Listed since2026-10-072026-10-13

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)Anthropic: Claude Haiku 5.5 (batch)ScaleDown: ExtractDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$8.75$3.00ScaleDown: Extract saves $5.75
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$8.50$4.80ScaleDown: Extract saves $3.70
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)
$9.00$4.80ScaleDown: Extract saves $4.20
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$5.50$3.20ScaleDown: Extract saves $2.30
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$2.75$2.00ScaleDown: Extract saves $0.75

Capabilities side by side

CapabilityAnthropic: Claude Haiku 5.5 (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✓ Yes✓ Yesaccept documents without your own parsing step
Image output——generate images, not just text
Built-in web search✓ Yes—answer from live web results
Seed (reproducible sampling)——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 Anthropic: Claude Haiku 5.5 (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 built-in web search — to answer from live web results; ScaleDown: Extract does not advertise it

Choose ScaleDown: Extract if…

  • cost matters at scale — it is 70% cheaper on a typical 3:1 input/output mix ($3.00 vs $8.75 a month for 50,000 support chats)
  • you generate long outputs in one go — up to 900K tokens (about 675,000 words) per response

Frequently asked questions

Is Anthropic: Claude Haiku 5.5 (batch) better than ScaleDown: Extract?

Neither wins outright: Anthropic: Claude Haiku 5.5 (batch) is the pick when you need tool / function calling, ScaleDown: Extract when cost matters at scale. In short: Anthropic: Claude Haiku 5.5 (batch) when you need tool / function calling, you need structured output (JSON schema), you need reasoning / thinking mode, you need built-in web search; ScaleDown: Extract when cost matters at scale, you generate long outputs in one go.

Which is cheaper, Anthropic: Claude Haiku 5.5 (batch) or ScaleDown: Extract?

ScaleDown: Extract is cheaper: $0.03 vs $0.10 per 1M tokens at a typical 3:1 input/output mix, 70% less. For 50,000 support conversations a month that is $3.00 against $8.75.

How much do Anthropic: Claude Haiku 5.5 (batch) and ScaleDown: Extract cost per million tokens?

Anthropic: Claude Haiku 5.5 (batch) costs $0.05 per 1M input tokens and $0.25 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, Anthropic: Claude Haiku 5.5 (batch) or ScaleDown: Extract?

Both take 1M tokens per request — roughly 1,500 pages of text.

Do Anthropic: Claude Haiku 5.5 (batch) and ScaleDown: Extract support function calling and JSON output?

Tool calling — Anthropic: Claude Haiku 5.5 (batch): yes, ScaleDown: Extract: not advertised. JSON-schema structured output — Anthropic: Claude Haiku 5.5 (batch): yes, ScaleDown: Extract: not advertised.

Can Anthropic: Claude Haiku 5.5 (batch) or ScaleDown: Extract read images?

Yes, both accept image input.

Is Anthropic: Claude Haiku 5.5 (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 Anthropic: Claude Haiku 5.5 (batch) and ScaleDown: Extract?

Anthropic: Claude Haiku 5.5 (batch) can write up to 128K tokens (about 96,000 words) per response; ScaleDown: Extract up to 900K (about 675,000 words).

When were Anthropic: Claude Haiku 5.5 (batch) and ScaleDown: Extract released?

Anthropic: Claude Haiku 5.5 (batch) was listed on 2026-10-07; 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 Anthropic: Claude Haiku 5.5 (batch) with other models

Compare ScaleDown: Extract with other models

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