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.
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.
Technical specs
- Inputs
- text, image
- Outputs
- text
- Capabilities
- high-volume tasks, reasoning, function calling, structured outputs, coding, web search, code interpreter
- License
- Proprietary API
- Source
- https://developers.openai.com/api/docs/models/gpt-6-luna
- Context tokens
- 1,050,000
- Knowledge Cutoff
- 2026-05-18
- Max output tokens
- 128,000
Benchmarks
No independent or vendor benchmark scores in this catalog entry.
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.
Explore next
Models, tools, and comparisons that connect to this reference.