GPT -6 Astra – OpenAI Dokümanlarını Kullanma

Learn best practices, features, and migration guidance for GPT-6 Astra.

GPT‑6 Astra is rolling out today for enterprises in our Trusted Access Program⁠ , with access through API and our Plus, Pro, Business and Enterprise plans coming in the coming days.

GPT-6 Astra is our most intelligent model yet, with state-of-the-art performance in computer use, browsing, software engineering, science, and professional work. It excels at carrying out multistep workflows across code, browsers, and professional software. In several evaluations , Astra achieves stronger results while using substantially fewer output tokens—delivering a lower estimated API cost per task than earlier models despite its higher per-token pricing.

GPT-6 Astra is also our most aligned model yet. It excels at exercising care, respecting task boundaries, and communicating transparently. When instructions leave room for interpretation, it uses the context it has to fill in routine gaps and asks focused questions when the answer could change the outcome.

It incorporates new requirements, changes course when asked, and answers side questions without losing track of the broader task.

To build with Astra, set model to gpt-6-astra in a Responses API request.

GPT-6 Astra also supports the existing API capabilities available with GPT-5.6, including computer use , Structured Outputs , streaming , Programmatic Tool Calling , multi-agent orchestration , prompt caching , persisted reasoning , compaction , and pro mode .

GPT-6 Astra is more intelligent and capable than prior models like GPT-5.6 Sol, and also exhibits behavior patterns that can be optimized through prompting the model for your use case.

GPT-6 Astra is generally better than GPT-5.6 Sol and earlier models at staying coherent during long tasks. It is also more likely to ask for clarification where earlier models would make assumptions.

When the user’s intent is unclear, the model is more likely to ask the user for clarification to proceed. Prompt the model to follow through if the user’s prompt implies authorization:

Prompt the model to ask for approval only after preparing a concrete, reviewable result.