GPT-6 Luna
GPT-6 Luna is OpenAI's September 22, 2026 efficient model for focused, high-volume tasks in the GPT-6 family.
Provider
OpenAI
Model family
OpenAI GPT
Multimodal LLM
Cost tier
Luna
Status
Current
Release Sep 22, 2026
Why teams choose it
Standard rates are $0.10 input / $0.01 cached input / $0.125 cache writes / $0.50 output per million tokens
The same 272K long-context multiplier as Sol applies: 2× input and cache, 1.5× output for the full request.
OpenAI's API announcement says Free and Go users can try GPT-6 Luna in the desktop app
Plus, Pro, Business, Enterprise, and Edu also get Luna in ChatGPT Work and Codex.
Batch and Flex are 50% of Standard rates
Fast mode is 2× the applicable rates. The free API tier is not supported.
Since October 7, 2026, GPT-6 in ChatGPT runs on GPT-6 Luna for Free and Go users
Tradeoffs to know
- OpenAI describes Luna as the efficient high-volume model, not the complex-coding default. Escalate to Sol or Astra when task quality slips.
- Audio and video are not supported.
When not to use this
- No independent benchmark scores are published on the model card. Do not infer Astra or Sol scores onto Luna.
Benchmarks
No independent or vendor benchmark scores in this catalog entry.
Technical specs
- Inputs
- text, image
- Outputs
- text
- License
- Proprietary API
- Context tokens
- 1,050,000
- Knowledge Cutoff
- 2026-05-18
- Max output tokens
- 128,000
- Capabilities
- high-volume tasks
- reasoning
- function calling
- structured outputs
- coding
- web search
- code interpreter
Sourcehttps://developers.openai.com/api/docs/models/gpt-6-luna
OpenAI GPT family lineup
Current models
Previous versions
Related models
GPT-6 Luna FAQ
What is GPT-6 Luna?
GPT-6 Luna is OpenAI's September 22, 2026 efficient model for focused, high-volume tasks in the GPT-6 family. The API model ID is gpt-6-luna, with a 1,050,000-token context window, 128,000 max output tokens, text and image input, and reasoning.effort from none through max (default medium). Standard text pricing is $0.10 input and $0.50 output per million tokens.
When does GPT-6 Luna fit best?
High-volume classification, extraction, and assistant turns
What should teams watch out for with GPT-6 Luna?
OpenAI describes Luna as the efficient high-volume model, not the complex-coding default. Escalate to Sol or Astra when task quality slips.
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