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Model details

GPT-6 Luna (US)

GPT-6 Luna joins the GPT-6 series as the efficiency-oriented sibling, slotted below GPT-6 Astra and alongside GPT-6 Sol in the lineup available through OpenAI's own launch and partner platforms. Where Astra targets advanced reasoning and computer-use work, Luna is framed around bringing efficient intelligence to high-volume data and preparatory tasks for production agents. The model is part of the same generation that expands on earlier customer momentum with GPT-5.6 Sol and GPT-6 Astra, giving builders a tiered set of options inside one family.

Practically, GPT-6 Luna fits scenarios where teams want to keep routine and preparatory agent work on a lighter, lower-cost option while reserving heavier reasoning and software-engineering workloads for Astra. OpenAI launched Sol and Luna together at roughly half the API cost of prior promotional pricing, signaling that Luna is intended for scalable, cost-sensitive deployments rather than as a frontier reasoning model. The Luna positioning, combined with its placement alongside Sol as the general-purpose variant, suggests a useful division of labor: Luna for efficient throughput on data and prep steps, Sol for broader general-purpose use, and Astra for the most demanding agent tasks.

Amazon Bedrockus.openai.gpt-6-lunagpt-luna

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Provider
Amazon Bedrock
Model key
us.openai.gpt-6-luna
Release date
Sep 22, 2026
Last updated
Sep 22, 2026
Knowledge cutoff
2026-05-18
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.11
Output token cost
$0.55

Limits

Input tokens
922,000 tokens
Output tokens
128,000 tokens
Context window
1,050,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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