API cost decision in 10 seconds

🔥GPT-6 Luna vs NewSummarize

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

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

Cost-first pickSummarize

Context-first pickGPT-6 Luna

Sample savings$0.3188.6%

10x traffic gap$3.1

GPT-6 Luna has more context, but Summarize 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.

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

Workload shape	Token mix	Better pick	GPT-6 Luna	Summarize
Input-heavy / RAG	5M input + 500K output	Summarize	$0.75	$0.2
Balanced workload	1M input + 1M output	Summarize	$0.6	$0.04
Output-heavy chatbot	1M input + 5M output	Summarize	$2.6	$0.04

Cheaper input Summarize $0.1 vs $0.04 / 1M

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

Cheaper output Summarize $0.5 vs $0 / 1M

Summarize 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 Summarize $0.35 vs $0.04

Summarize 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

Summarize 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

Summarize has the lower input price; Summarize has the lower output price; GPT-6 Luna offers the larger context window. For the 1M input plus 500K output sample, Summarize 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 Summarize.

Best Fit

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

Choose Summarize 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, Summarize is estimated at $0.04 vs $0.35 for GPT-6 Luna, saving $0.31 (88.6% lower).
Summarize is $0.31 cheaper on the standard workload (88.6% lower).
Summarize is $0.06 cheaper per 1M input tokens (60% lower; 2.5x difference).
Summarize 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)	NewSummarize (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	Summarize	On the standard 1M input plus 500K output workload, Summarize is estimated at $0.04 vs $0.35 for GPT-6 Luna, saving $0.31 (88.6% lower).
High-volume input processing	Summarize	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Summarize	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.

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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...

Summarize

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...