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GPT-6 Astra
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GPT-6 Astra

6 Astra · Family: GPT
OpenAI GPT-family model, successor to the GPT-5.6 line, focused on computer use, coding, cybersecurity and reasoning. Released September 3, 2026 in limited preview.
⏳ Preview⏳ Limited accessLLMMultimodalReasoning modelTool-using model📁 GPT
Release date
3 September 2026
🏢OpenAIProducer
Access:APIHostedDeployment:☁ Cloud

Overview

GPT-6 Astra is an OpenAI model from the GPT family, released on September 3, 2026 as a limited preview and, the following day, in a restricted version for paying users. It is the successor to the GPT-5.6 line. OpenAI positions it as a large language model focused on computer use, software engineering, cybersecurity, science and professional work, describing it as a step toward artificial general intelligence (AGI).

Architecture and training

The model uses a new reasoning technique described as “recurrent depth” or “looped transformers”, which is said to increase efficiency but partly or fully obscures the model's chain of thought. According to reports, it was trained using more than 100,000 GPUs at OpenAI's Stargate facility in Texas.

Availability and safety

GPT-6 Astra is rolling out in stages: first to approved users, then to paying subscribers in a restricted version that rejects certain prompts (including in cybersecurity). Before deployment, OpenAI strengthened its safeguards following incidents involving AI agents in July 2026.

OpenAI has not publicly disclosed the parameter count, context window size, knowledge cutoff date, or official benchmark results and API pricing for this model.

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

Technical specification

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
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

Technical architecture

Sources and related pages