OpenAI unveils GPT-6 Astra with new reasoning architecture
OpenAI has announced GPT-6 Astra, a model featuring latent recurrent reasoning and a context window of over one million tokens.
What happened?
OpenAI has announced GPT-6 Astra, a new AI model focused on advanced reasoning, software engineering, and data security. The model is built on a "neuralese recurrence" architecture, meaning deeper reasoning is performed directly within latent vector spaces. GPT-6 Astra has a context window of 1,050,000 tokens and supports a maximum output size of 128,000 tokens per request.
Key facts
| Kontextfönster | 1 050 000 tokens |
|---|---|
| Maximal utdata | 128 000 tokens |
| Publiceringsdatum | 26 september 2026 |
Why it matters
By using recurrent depth, or a "looped transformer" architecture, the model can increase its computational capacity and perform more complex reasoning without the number of parameters scaling linearly. This aims to streamline processing for advanced problem-solving and code analysis.
Who is affected?
The model is primarily aimed at software developers, cybersecurity experts, and companies building complex AI applications via the OpenAI API. Developers are provided with controllable reasoning levels that can be adjusted as required.
Impact on the EU
Launch status for the EU has not yet been detailed separately by OpenAI. As previous model releases have been affected by the EU AI Act and GDPR, it remains unclear whether all features will be available to EU users simultaneously.
What else you should know
According to the source TheNextGenTechInsider, the model introduces a "looped transformer" architecture that enables increased computational depth interaction without a linear increase in the number of parameters. Developers are also given the ability to adjust the degree of reasoning in five distinct levels, from low to max.
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