GPT-6 Luna Description

GPT-6 Luna is a lightweight, cost-efficient model in OpenAI’s GPT-6 family built for coding, professional tasks, computer use, and high-volume AI applications. The model incorporates advances from the same generation as GPT-6 Astra while emphasizing lower inference costs and greater efficiency for everyday workloads. API pricing is $0.10 per million input tokens and $0.50 per million output tokens, making Luna suitable for applications that process large volumes of requests. In professional work, GPT-6 Luna can execute multi-step workflows involving business applications, tools, and structured tasks across functions such as sales, marketing, operations, support, finance, and HR. For software engineering, the model can work on real codebases, perform extended development tasks, and operate within coding agents such as Codex. Its computer-use capabilities allow AI agents to interact with software interfaces and carry out longer workflows that require repeated actions and decisions. OpenAI also reports substantial factuality improvements over GPT-5.6 Luna, with higher reasoning settings enabling stronger performance on difficult factual questions. GPT-6 prompt caching provides higher cache-hit rates and discounted cached input, helping persistent agents and long conversations reuse context more efficiently. GPT-6 Luna is available through ChatGPT Work, Codex, the OpenAI API, and the ChatGPT desktop app for eligible users.

Pricing

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

Integrations

API:
Yes, GPT-6 Luna has an API
View Integrations

Company Details

Company:
OpenAI
Year Founded:
2015
Headquarters:
United States
Website:
openai.com

Media

GPT-6 Luna Screenshot 1
GPT-6 Luna Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

GPT-6 Luna Features and Options

GPT-6 Luna User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Engineer
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User, Administrator, Deployment
    Organization Size: 500 - 999
    Pricing
    Likelihood to 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.

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