OpenAI has released GPT-6 Astra, a new model focused on computer use, coding, professional workflows, science, and cybersecurity. The model is initially available to a limited set of organizations and is rolling out to ChatGPT Plus, Pro, Business, and Enterprise users, as well as the OpenAI API, Microsoft Azure, and AWS Bedrock.
Astra extends OpenAI's models beyond generating responses toward performing multi-step tasks directly in software. It can interact with graphical interfaces to fill forms, update CRM records, conduct research, create websites, analyze data, install and test software, and troubleshoot problems visible on screen. On OSWorld 2.0, OpenAI reports a score of 72.6%, compared with 65.7% for GPT-5.6 Sol.
Coding is another focus of the release. OpenAI reports 57.9% on Terminal-Bench 4.0 and 74.1% on DeepSWE v1.1. Astra also introduces an experimental context mechanism in Codex that allows the agent to maintain notes across context windows instead of relying only on compaction. Previous context windows remain searchable, allowing the model to retrieve earlier requirements, test results, and tool outputs during long-running coding tasks.
The model supports long contexts of up to one million tokens in OpenAI's reported MRCR evaluations, scoring 96.3% in the 512K-to-1M range. OpenAI also reports improvements in professional tasks including database migrations, CAD generation, data science, browser research, and scientific workflows.
Cybersecurity represents a significant change from previous OpenAI models. Astra is the first OpenAI model classified at the critical cybersecurity capability level under the company's Preparedness Framework. In testing without production safeguards, OpenAI says the model discovered and used two previously unknown vulnerabilities and demonstrated the ability to develop exploits against hardened browsers and operating systems. The production version restricts advanced offensive tasks, while OpenAI plans to provide broader defensive capabilities through its Daybreak program.
OpenAI also reports lower hallucination rates in its internal evaluation, with Astra scoring 4.2% compared with 12.2% for GPT-5.6 Sol. However, the company found Astra's written reasoning harder to monitor than its predecessor in tests designed to measure whether a model could obscure its reasoning. OpenAI said improving this monitorability remains an active research area.
Community reaction included comments from Nvidia CEO Jensen Huang, who highlighted the infrastructure used to train the model, saying:
GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years. AGI has arrived. Congratulations @OpenAI team. 400K GPUs coming online next.
Another community voice, Alex Finn, similarly focused on the AGI framing around the release, pointing to the characterization of the current period sharing:
Welcome to AGI. ChatGPT 6 Astra just released.
Astra competes with models including Anthropic's Claude Fable 5.1 and Google's Gemini 3.8 Flash. OpenAI's published evaluations show results varying by task: Astra leads the compared models on Terminal-Bench 4.0 and several computer-use evaluations, while Claude Fable 5.1 scores higher on Humanity's Last Exam and Google's Gemini 3.8 Flash supports native video and audio input that Astra does not.