API cost decision in 10 seconds

NewExtract vs Schematron V2 Small

Pick Extract when budget and context both matter.

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 and context both matter.

On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.17 for Schematron V2 Small, saving $0.12 (75.8% lower).

Cost-first pickExtract

Context-first pickExtract

Sample savings$0.1275.8%

10x traffic gap$1.25

Extract is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.25. 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	Schematron V2 Small
Input-heavy / RAG	5M input + 500K output	Extract	$0.2	$0.36
Balanced workload	1M input + 1M output	Extract	$0.04	$0.28
Output-heavy chatbot	1M input + 5M output	Extract	$0.04	$1.2

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 $0.23 / 1M

Extract is free for output tokens while Schematron V2 Small costs $0.23 per 1M tokens.

Larger context Extract 1M vs 128K

Extract has 872K more context (7.81x larger).

Sample workload Extract $0.04 vs $0.17

Extract is $0.12 cheaper on the standard workload (75.8% 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

Schematron V2 Small 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; Extract offers the larger 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 Schematron V2 Small.

Best Fit

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

Choose Schematron V2 Small 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 Schematron V2 Small, saving $0.12 (75.8% lower).
Extract is $0.12 cheaper on the standard workload (75.8% lower).
Extract is $0.01 cheaper per 1M input tokens (20% lower; 1.25x difference).
Extract is free for output tokens while Schematron V2 Small costs $0.23 per 1M tokens.
Extract has 872K more context (7.81x larger).

Head-to-Head Specs

Feature	NewExtract (ScaleDown)	Schematron V2 Small (Inference.net)
Input Price prompt tokens per 1M	$0.04	$0.05
Completion Price per 1M tokens	$0	$0.23
Sample Workload Cost 1M input + 500K output	$0.04	$0.17
Context Window	1M	128K
Release Date	2026-10-13	2026-09-12

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 Schematron V2 Small, saving $0.12 (75.8% 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	Extract	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Schematron V2 Turbo can replace Schematron V2 Small when lower sample workload cost matters most: $0.1.

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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Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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ScaleDown catalog

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Inference.net catalog

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