What is GPT-6 Luna?

GPT-6 Luna is OpenAI’s efficiency-focused GPT-6 model for developers and users who need capable reasoning, coding, computer use, and agentic workflows at very low inference cost. It is positioned below GPT-6 Sol and GPT-6 Astra in the model family while bringing many of the GPT-6 generation’s improvements to applications that prioritize scale and affordability. The model supports configurable reasoning effort so developers can allocate additional computation to complex tasks while keeping simpler interactions fast and economical. GPT-6 Luna can power business automation across applications used for sales, marketing, finance, operations, customer support, and human resources. Its coding capabilities support work on real software repositories, including multi-step engineering tasks that require analysis, modification, testing, and iteration. Luna can also operate in computer-use environments, allowing agents to navigate graphical interfaces and complete extended workflows across software applications. OpenAI reports that GPT-6 Luna substantially improves factual reliability compared with GPT-5.6 Luna and can approach the capabilities of more expensive models on some tasks when used at higher reasoning levels. The model also benefits from GPT-6’s improved collaboration style, with clearer technical communication, less unnecessary jargon, and fewer low-value details. Enhanced prompt caching allows applications to reuse previously processed context at a discount while preserving cache reuse when reasoning effort or available tools change. These efficiency improvements make Luna suitable for high-volume agents, coding assistants, automated workflows, customer-facing applications, and other systems where per-request cost is important. GPT-6 Luna is available through the OpenAI API as gpt-6-luna, as well as through ChatGPT Work, Codex, and supported ChatGPT desktop experiences.

Pricing

Price Starts At:
$0.10 per 1M tokens (input)
Price Overview:
Input: $0.10 per 1 million tokens
Output: $0.50 per 1 million tokens

Integrations

Offers API?:
Yes, GPT-6 Luna provides an API

Screenshots and Video

GPT-6 Luna Screenshot 1

Company Facts

Company Name:
OpenAI
Date Founded:
2015
Company Location:
United States
Company Website:
openai.com

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

GPT-6 Luna Categories and Features

GPT-6 Luna Customer Reviews

Write a Review
  • Reviewer Name: A Verified Reviewer
    Position: Engineer
    Has used product for: Less than 6 months
    Uses the product: Daily
    Org Size (# of Employees): 500 - 999
    Cost
    Would you Recommend to Others?
    1 2 3 4 5 6 7 8 9 10

    Really good for the price

    Date: Sep 23 2026
    Summary

    Overall, GPT-6 Luna is an excellent everyday workhorse. It is fast, extremely inexpensive, has huge context, and is capable enough for a massive percentage of the routine AI work I do.

    Positive

    At $0.10 per million input tokens and $0.50 per million output tokens, I can run it across a lot of everyday coding, automation, classification, extraction, and agent steps without constantly thinking about cost. The 1.05M-token context window is almost ridiculous at this price. I can give it large repos, long docs, logs, and plenty of agent history without immediately hitting context limits. I also like that Luna still gets the full tool stack. Web search, files, code execution, shell access, computer use, MCP, and function calling are all supported, so it is not just a stripped-down cheap model.

    Negative

    The tradeoff is raw capability. For difficult architecture work, deep debugging, or long-horizon tasks where mistakes are expensive, I would still move up to GPT-6 Sol or Astra.

    Read More...
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