API cost decision in 10 seconds

NewExtract vs NewClaude Haiku 5.5 (batch)

Pick Extract when budget is the priority.

Page updated: 2026-10-13T13:12:15Z Data confirmed: 2026-10-15T01:07:46Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Extract when budget is the priority.

On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.17 for Claude Haiku 5.5 (batch), saving $0.13 (77.1% lower).

Cost-first pickExtract

Context-first pickBoth models

Sample savings$0.1377.1%

10x traffic gap$1.35

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $1.35. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Extract stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Extract	Claude Haiku 5.5 (batch)
Input-heavy / RAG	5M input + 500K output	Extract	$0.2	$0.38
Balanced workload	1M input + 1M output	Extract	$0.04	$0.3
Output-heavy chatbot	1M input + 5M output	Extract	$0.04	$1.3

Cheaper input Extract $0.04 vs $0.05 / 1M

Extract is $0.01 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output Extract $0 vs $0.25 / 1M

Extract is free for output tokens while Claude Haiku 5.5 (batch) costs $0.25 per 1M tokens.

Larger context Tie 1M vs 1M

Both models report the same context window at 1M tokens.

Sample workload Extract $0.04 vs $0.17

Extract is $0.13 cheaper on the standard workload (77.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Extract Calculating… Estimated API cost

Claude Haiku 5.5 (batch) Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Extract has the lower input price; Extract has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Extract is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.04 for Extract and $0.17 for Claude Haiku 5.5 (batch).

Best Fit

Choose Extract when you care most about lower input-token price, and lower output-token price.

Choose Claude Haiku 5.5 (batch) when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.17 for Claude Haiku 5.5 (batch), saving $0.13 (77.1% lower).
Extract is $0.13 cheaper on the standard workload (77.1% lower).
Extract is $0.01 cheaper per 1M input tokens (20% lower; 1.25x difference).
Extract is free for output tokens while Claude Haiku 5.5 (batch) costs $0.25 per 1M tokens.
Both models report the same context window at 1M tokens.

Head-to-Head Specs

Feature	NewExtract (ScaleDown)	NewClaude Haiku 5.5 (batch) (Anthropic)
Input Price prompt tokens per 1M	$0.04	$0.05
Completion Price per 1M tokens	$0	$0.25
Sample Workload Cost 1M input + 500K output	$0.04	$0.17
Context Window	1M	1M
Release Date	2026-10-13	2026-10-07

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Extract	On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.17 for Claude Haiku 5.5 (batch), saving $0.13 (77.1% lower).
High-volume input processing	Extract	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Extract	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

No lower-cost same-provider swap is currently tracked for this pair.

Larger context near this budget

GPT-6 Luna Pro (batch) offers 1.05M context with $0.17 sample workload cost.
GPT-6 Luna (batch) offers 1.05M context with $0.17 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
Muse Spark 1.3 Contributor offers 1.05M context with $0.2 sample workload cost.

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Larger context alternatives

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Provider catalogs

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ScaleDown catalog

Review all tracked ScaleDown models before deciding whether this matchup is the right shortlist.

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Anthropic catalog

Check other Anthropic models with comparable pricing, context, or release timing.

Open Anthropic models

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...

Claude Haiku 5.5 (batch)

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...