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GPT-6
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GPT-6

Family: GPT
OpenAI family of large language models (successor to GPT-5.6): Astra (flagship), Sol (mid-tier) and Luna (budget) variants. State-of-the-art in coding, math and computer/browser use; released September 2026.
✓ Active✓ Public accessLLMMultimodalReasoning modelTool-using model📁 GPT
Release date
4 September 2026
🏢OpenAIProducer
Access:APIHostedDeployment:☁ Cloud

Overview

GPT-6 is a family of large language models (LLM) developed by OpenAI, the successor to the GPT-5.6 line. It comprises three variants: GPT-6 Astra (flagship, released as a limited preview on September 3, 2026 and publicly to paid users on September 4, 2026), and GPT-6 Sol (mid-tier) and GPT-6 Luna (budget), both released on September 22, 2026.

OpenAI called the model a “generational leap” for cybersecurity, professional work, software engineering and science. Company president Greg Brockman claimed it could eventually be seen as the arrival of artificial general intelligence (AGI). GPT-6 is state of the art in coding, math and navigating computers and web browsers, and reliably completes multi-step workflows such as filling out tax returns, building video game scenes, ordering food and conducting job searches.

According to VP of research Aidan Clark, GPT-6 involved by far OpenAI’s largest training run — the first time it pretrained on more than 100,000 GPUs at its Stargate site in Texas.

OpenAI described Astra as its most aligned model yet while warning about its cybersecurity capabilities. The model uses a new reasoning technique called “recurrent depth” (looped transformers), which increases efficiency but partly obscures its chain of thought, raising concerns about monitorability.

Classification
LLMMultimodalReasoning modelTool-using model
Family: GPT
Access & deployment
APIHosted
Cloud
Weights: Closed
Key parameters
✓ Tools
📥 Input: text, image

Technical specification

Features:✓ Tool use
Modalities
⬇ Input
textimage
⬆ Output
textcode

Capabilities and applications

Native model capabilities
Reasoning
The model's ability to reason logically and solve complex problems.
Category: reasoning
Advanced reasoning
The ability to perform multi-step, structured reasoning: analysing problems, planning steps, and drawing conclusions from hypotheses. Reasoning-first models (e.g. GPT-5.1 Thinking) dedicate a portion of inference to chains of thought before responding.
Category: reasoning
Multi-step reasoning
Carrying out multi-step chains of reasoning across long, complex tasks.
Category: reasoning
Mathematical reasoning
The model's ability to solve mathematical tasks requiring multi-step reasoning — equations, proofs, combinatorics, geometry, calculus and competition-level problems.
Category: reasoning
Coding
Generating, analysing and modifying code in many programming languages. Covers writing functions, debugging, refactoring, code review, and creating tests. Measured by benchmarks such as HumanEval and SWE-bench.
Category: coding
Agentic coding
Multi-hour, multi-step programming tasks performed autonomously by the model: cloning a repository, running tests, iterating on fixes, integrating with CLI tools. Characteristic of Codex variants (GPT-5.1-Codex-Mini, Codex-Max).
Category: coding
Agentic capability
The model's ability to autonomously plan and execute multi-step tasks by sequentially using tools, maintaining context, and adapting to intermediate results.
Category: planning
Computer use
The model's ability to operate a computer interface by interpreting screenshots and generating actions such as clicks, typing, and navigating applications.
Category: planning
Web browsing
Ability of the model to autonomously search and browse web pages to retrieve up-to-date information.
Category: other
Image understanding
Analysing and interpreting the content of images.
Category: vision
Tool use
The model's ability to call external functions, APIs and tools during a conversation: calculator, search engine, code editor, database. The model decides when and how to use a tool and interprets its result.
Category: planning
Cybersecurity
The model ability to perform computer-security tasks: vulnerability analysis, proof-of-concept exploit generation, patching, and cybersecurity question answering.
Category: other
Vulnerability detection
The ability to identify and analyze security vulnerabilities in source code and software.
Category: coding
Planning
Forming and executing action plans for complex tasks.
Category: planning
Multi-step project execution
The ability to autonomously drive multi-hour, multi-step projects: decomposing the task, planning the sequence of actions, iteratively delivering results, and adjusting based on feedback. Key for enterprise and knowledge-work agents.
Category: planning

Pricing

Technical architecture

Sources and related pages