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
ScaleDown: Summarize
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$17.50
$3.00
ScaleDown: Summarize saves $14.50
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$17.00
$4.80
ScaleDown: Summarize saves $12.20
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)
$18.00
$4.80
ScaleDown: Summarize saves $13.20
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$11.00
$3.20
ScaleDown: Summarize saves $7.80
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$5.50
$2.00
ScaleDown: Summarize saves $3.50
Capabilities side by side
Capability
Anthropic: Claude Haiku 5.5
ScaleDown: Summarize
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
✓ Yes
accept 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
Anthropic: Claude Haiku 5.5: price unchanged since we started tracking it on 2026-10-08.
ScaleDown: Summarize: price unchanged since we started tracking it on 2026-10-14.
Which should you choose?
Choose Anthropic: Claude Haiku 5.5 if…
you need tool / function calling — to call your APIs and run agent loops; ScaleDown: Summarize does not advertise it
you need structured output (JSON schema) — to return JSON that validates against your schema; ScaleDown: Summarize does not advertise it
you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; ScaleDown: Summarize does not advertise it
you need built-in web search — to answer from live web results; ScaleDown: Summarize does not advertise it
you generate long outputs in one go — up to 128K tokens (about 96,000 words) per response
Choose ScaleDown: Summarize if…
cost matters at scale — it is 85% cheaper on a typical 3:1 input/output mix ($3.00 vs $17.50 a month for 50,000 support chats)
Frequently asked questions
Is Anthropic: Claude Haiku 5.5 better than ScaleDown: Summarize?
Neither wins outright: Anthropic: Claude Haiku 5.5 is the pick when you need tool / function calling, ScaleDown: Summarize when cost matters at scale. In short: Anthropic: Claude Haiku 5.5 when you need tool / function calling, you need structured output (JSON schema), you need reasoning / thinking mode, you need built-in web search, you generate long outputs in one go; ScaleDown: Summarize when cost matters at scale.
Which is cheaper, Anthropic: Claude Haiku 5.5 or ScaleDown: Summarize?
ScaleDown: Summarize is cheaper: $0.03 vs $0.20 per 1M tokens at a typical 3:1 input/output mix, 85% less. For 50,000 support conversations a month that is $3.00 against $17.50.
How much do Anthropic: Claude Haiku 5.5 and ScaleDown: Summarize cost per million tokens?
Anthropic: Claude Haiku 5.5 costs $0.10 per 1M input tokens and $0.50 per 1M output tokens; ScaleDown: Summarize 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 or ScaleDown: Summarize?
Both take 1M tokens per request — roughly 1,500 pages of text.
Do Anthropic: Claude Haiku 5.5 and ScaleDown: Summarize support function calling and JSON output?
Tool calling — Anthropic: Claude Haiku 5.5: yes, ScaleDown: Summarize: not advertised. JSON-schema structured output — Anthropic: Claude Haiku 5.5: yes, ScaleDown: Summarize: not advertised.
Can Anthropic: Claude Haiku 5.5 or ScaleDown: Summarize read images?
Yes, both accept image input.
Is Anthropic: Claude Haiku 5.5 or ScaleDown: Summarize 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 and ScaleDown: Summarize?
Anthropic: Claude Haiku 5.5 can write up to 128K tokens (about 96,000 words) per response; ScaleDown: Summarize up to 4K (about 3,000 words).
When were Anthropic: Claude Haiku 5.5 and ScaleDown: Summarize released?
Anthropic: Claude Haiku 5.5 was listed on 2026-10-07; ScaleDown: Summarize on 2026-10-13.
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...
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...