Audience

Developers, startups, AI agent builders, software teams, businesses, and high-volume applications that need capable coding, reasoning, computer use, and automation at a low operating cost

About GPT-6 Luna

GPT-6 Luna is OpenAI’s cost-efficient GPT-6 model designed for everyday professional work, coding, computer use, and agentic applications at scale. It brings many of the advances introduced with GPT-6 Astra to a faster and substantially lower-cost model while improving on GPT-5.6 Luna in capability and factual reliability. The model supports adjustable reasoning effort, allowing applications to spend more compute on harder tasks and less on simpler requests. GPT-6 Luna can handle software engineering, multi-step business workflows, computer interaction, and other tool-using tasks that benefit from low operating cost. Improved GPT-6 prompt caching helps long-running agents reuse more context, respond faster, and reduce the cost of repeated input. GPT-6 Luna is available in ChatGPT Work, Codex, the ChatGPT desktop app for Free and Go users, and the OpenAI API as gpt-6-luna.

Other Popular Alternatives & Related Software
GPT-6.1 Sol
GPT-6.1 Sol
5.0 out of 5 stars (1 Rating)
GPT-6.1 Sol is an OpenAI model designed to deliver near-GPT-6 Astra intelligence at substantially lower cost across coding, professional work, computer use, scientific research, and agentic workflows. It improves on GPT-6 Sol across complex tasks such as software engineering, document analysis, multi-step business automation, and computer interaction. On DeepSWE v1.1, GPT-6.1 Sol matches GPT-6 Astra at roughly one-fifth of the cost while exceeding GPT-6 Sol's best score by 6.4 percentage points at a lower reasoning effort. The model also improves computer use, outperforming GPT-6 Sol by seven percentage points on the OSWorld 2.0 offline set at maximum reasoning effort while costing less than half as much per task. GPT-6.1 Sol provides improved factuality and alignment, including greater transparency about limitations and stronger adherence to user instructions during agentic tasks. It is available through ChatGPT Work, Codex, and the OpenAI API.
Learn more about GPT-6.1 Sol
Gemini 4 Carbon
Gemini 4 Carbon
Gemini 4 Carbon is an advanced multimodal AI reasoning model developed by Google DeepMind for cybersecurity, software engineering, scientific research, and autonomous agent workflows. Building on Gemini 4 Argon, the model delivers improved performance in vulnerability discovery, exploit validation, secure code generation, and automated software patching. Its long-horizon reasoning capabilities enable AI agents to work through complex engineering problems over extended periods, including debugging large codebases and resolving low-level system issues. Gemini 4 Carbon also supports full-stack web development, multimodal understanding, technical analysis, and multistep task execution. The model incorporates safety mechanisms for prompt injection resistance, monitoring, and alignment while reducing unsupported claims and unauthorized actions.
Learn more about Gemini 4 Carbon
Gemini 4 Argon
Gemini 4 Argon
5.0 out of 5 stars (1 Rating)
Gemini 4 Argon is a frontier artificial intelligence model developed by Google DeepMind for complex reasoning, software engineering, cybersecurity, and professional knowledge work. The model supports multimodal inputs, including text, images, audio, video, and PDF documents, with a unified context window of approximately one million tokens. Its advanced reasoning capabilities enable it to analyze difficult problems, maintain context across lengthy workflows, and execute multistep tasks. Gemini 4 Argon supports autonomous AI agents, code generation, application development, scientific research, and analysis of legal and financial information. Developer capabilities include function calling, code execution, structured outputs, search grounding, and preview support for computer use. The model is available through the Gemini API, Google AI Studio, Google Antigravity, and supported Gemini applications and enterprise services.
Learn more about Gemini 4 Argon
Claude Fable 5.2
Claude Fable 5.2
5.0 out of 5 stars (1 Rating)
Claude Fable 5.2 is an advanced AI reasoning model developed by Anthropic for complex software engineering, scientific research, technical problem-solving, and autonomous agent workflows. The model provides improvements in coding, mathematical reasoning, visual understanding, and long-running task execution compared with previous Claude Fable models. Its agentic capabilities allow AI systems to analyze large codebases, coordinate multiple subagents, develop software, investigate technical problems, and automate complex business processes. Claude Fable 5.2 generates outputs up to 30% faster than Fable 5.1 and offers an optional fast mode that increases generation speed by up to 2.5 times. The model includes configurable reasoning effort, advanced tool use, and specialized cybersecurity and biology safeguards designed to reduce misuse while supporting general technical work.
Learn more about Claude Fable 5.2

Pricing

Starting Price:
$0.10 per 1M tokens (input)
Pricing Details:
Input: $0.10 per 1 million tokens
Output: $0.50 per 1 million tokens

Integrations

API:
Yes, GPT-6 Luna offers API access
See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
More Reviews for GPT-6 Luna Write a Review

Company Information

OpenAI
Founded: 2015
United States
openai.com

Videos and Screen Captures

GPT-6 Luna Screenshot 1
GPT-6 Luna Screenshot 1
Other Useful Business Software
Paessler: Easy to Use With Enterprise Power. Free Trial Icon
Paessler: Easy to Use With Enterprise Power. Free Trial

A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.

You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
Get Free Download

Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

GPT-6 Luna Frequently Asked Questions

Q: What kinds of users and organization types does GPT-6 Luna work with?
GPT-6 Luna works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does GPT-6 Luna support in their product?
GPT-6 Luna supports these languages: English.
Q: What kind of support options does GPT-6 Luna offer?
GPT-6 Luna offers support via online.
Q: What other applications or services does GPT-6 Luna integrate with?
GPT-6 Luna integrates with: Codex Security, Agentforce Vibes, Vercel AI Gateway, AiAssistWorks, Amazon Bedrock, Amp, Anuma, Astra for Law, Auggie CLI, Augment Code, Amazon Web Services (AWS), Microsoft Foundry, Microsoft Foundry Models, Azure OpenAI Service, Bash, Brokk, C, C++, C#, Charlie, ChatGPT Canvas, ChatGPT Enterprise, ChatGPT Go, and ChatGPT Health and more.
Q: Does GPT-6 Luna have an API?
Yes, GPT-6 Luna has an API.
Q: What type of training does GPT-6 Luna provide?
GPT-6 Luna provides training in the form of documentation.
Q: How much does GPT-6 Luna cost?
Pricing for GPT-6 Luna starts at $0.10 per 1M tokens (input).

GPT-6 Luna Product Features

GPT-6 Luna Verified User Reviews

Write a Review
  • A GPT-6 Luna User
    Engineer
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: User, Administrator, Deployment
    Company Size: 500 - 999
    Pricing 5 out of 5 stars
    Probability You Would Recommend? 8 out of 10

    "Really good for the price"

    5 out of 5 stars Posted 2026-09-23

    Pros: 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.

    Cons: 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.

    Overall: 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.

    Read More...
  • Previous
  • You're on page 1
  • Next