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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.
Quick Info
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- 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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This exact model name is also listed by 22 other providers.