API cost decision in 10 seconds

🔥GPT-6 Luna vs NewExtract

Pick Extract for lower cost; pick GPT-6 Luna only if the larger context window matters more.

Page updated: 2026-10-13T13:12:15Z Data confirmed: 2026-10-15T02:07:54Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Extract for lower cost; pick GPT-6 Luna only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.35 for GPT-6 Luna, saving $0.31 (88.6% lower).

Cost-first pickExtract

Context-first pickGPT-6 Luna

Sample savings$0.3188.6%

10x traffic gap$3.1

GPT-6 Luna has more context, but Extract saves $0.31 on the standard workload. At 10x that traffic, the same price gap is about $3.1. 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	GPT-6 Luna	Extract
Input-heavy / RAG	5M input + 500K output	Extract	$0.75	$0.2
Balanced workload	1M input + 1M output	Extract	$0.6	$0.04
Output-heavy chatbot	1M input + 5M output	Extract	$2.6	$0.04

Cheaper input Extract $0.1 vs $0.04 / 1M

Extract is $0.06 cheaper per 1M input tokens (60% lower; 2.5x difference).

Cheaper output Extract $0.5 vs $0 / 1M

Extract is free for output tokens while GPT-6 Luna costs $0.5 per 1M tokens.

Larger context GPT-6 Luna 1.05M vs 1M

GPT-6 Luna has 50K more context (1.05x larger).

Sample workload Extract $0.35 vs $0.04

Extract is $0.31 cheaper on the standard workload (88.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-6 Luna Calculating… Estimated API cost

Extract 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; GPT-6 Luna 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 $0.35 for GPT-6 Luna and $0.04 for Extract.

Best Fit

Choose GPT-6 Luna when you care most about larger context window.

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

Decision Notes

On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.35 for GPT-6 Luna, saving $0.31 (88.6% lower).
Extract is $0.31 cheaper on the standard workload (88.6% lower).
Extract is $0.06 cheaper per 1M input tokens (60% lower; 2.5x difference).
Extract is free for output tokens while GPT-6 Luna costs $0.5 per 1M tokens.
GPT-6 Luna has 50K more context (1.05x larger).

Head-to-Head Specs

Feature	🔥GPT-6 Luna (OpenAI)	NewExtract (ScaleDown)
Input Price prompt tokens per 1M	$0.1	$0.04
Completion Price per 1M tokens	$0.5	$0
Sample Workload Cost 1M input + 500K output	$0.35	$0.04
Context Window	1.05M	1M
Release Date	2026-09-22	2026-10-13
Popularity	#7

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 $0.35 for GPT-6 Luna, saving $0.31 (88.6% 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	GPT-6 Luna	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

gpt-oss-120b (free) can replace GPT-6 Luna when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-6 Luna when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-6 Luna when lower sample workload cost matters most: $0.06.
gpt-oss-20b (batch) can replace GPT-6 Luna when lower sample workload cost matters most: $0.08.

Larger context near this budget

No larger-context model is currently tracked within a close sample-cost band.

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Cheaper alternatives

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Larger context alternatives

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

OpenAI catalog

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

Open OpenAI models

ScaleDown catalog

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

Open ScaleDown models

GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...

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...