GPT-6 Astra moves from answers to complete workflows
We have added GPT-6 Astra, OpenAI’s new flagship model, to Ayeto. It is designed for demanding end-to-end work, including research, software development, computer use, analysis, and the creation of finished business documents.
Compared with GPT-5.6 Sol, the difference is not limited to higher benchmark scores. Astra is designed to remain oriented during long tasks, respond better when requirements change, and use tools more efficiently. That matters in Ayeto, where a model can work with connected services, data, and tools instead of only producing text.
What is GPT-6 Astra?
OpenAI describes GPT-6 Astra as its most capable model for complex end-to-end work. It combines advanced reasoning, coding, visual input, a large context window, and external tool use.
The model offers a 1,050,000-token context window, up to 128,000 output tokens, and low, medium, high, xhigh, and max reasoning effort. It accepts text and image input and supports function calling and structured outputs. Its API knowledge cutoff is April 30, 2026, so web search or a private knowledge base remains useful for newer information.
Where Astra improves on GPT-5.6 Sol
| Benchmark | GPT-6 Astra | GPT-5.6 Sol |
|---|---|---|
| Agents’ Last Exam | 59.3% | 53.6% |
| OSWorld 2.0 | 72.6% | 65.7% |
| Terminal-Bench 4.0 | 57.9% | 37.3% |
| BenchCAD | 95.9% | 83.3% |
| FrontierMath Tier 4 | 97.6% | 83.0% |
| ARC-AGI-3 | 99.9% | 7.8% |
Computer use
Astra scored 72.6% on OSWorld 2.0. In OpenAI’s latency simulation, it completed tasks in approximately 47% less time than GPT-5.6 Sol. In practice, that may translate into more reliable work with web applications, forms, spreadsheets, and specialist software.
Coding and terminal tasks
On Terminal-Bench 4.0, Astra improved from Sol’s 37.3% to 57.9%. It is therefore a strong candidate for multi-file fixes, database migrations, larger refactors, and workflows that combine code, a terminal, and browser-based testing.
Long context
On information-retrieval tests using between 512,000 and one million tokens of context, Astra scored 96.3%, compared with 73.8% for GPT-5.6 Sol. This is useful for large documentation sets, repositories, contracts, and long project histories.
When to choose GPT-6 Astra in Ayeto
Astra makes sense when getting the complete workflow right is more valuable than minimizing the cost of a single request. Choose it for complex research, application development, large source sets, multi-step automation, or creating documents, spreadsheets, and presentations that must follow company standards.
For short classification, basic rewriting, or routine answers, a less expensive model will often be more practical. In Ayeto, you can switch models without rebuilding the assistant’s entire workflow.
How its cost compares with GPT-5.6 Sol
GPT-6 Astra is a premium model. At standard API rates, it is 2× more expensive for input and approximately 1.7× more expensive for output than GPT-5.6 Sol.
The higher rate can still be worthwhile if Astra reduces revisions, completes a multi-step task faster, or succeeds where Sol would need several attempts. Token price alone therefore does not determine which model is less expensive for the finished result.
Ayeto converts usage into credits. The practical approach is to submit the same real task to both models through Ayeto Model Comparison, then compare quality, processing time, required revisions, and total credit usage.
A stronger model still needs controls
OpenAI classifies Astra as reaching the Critical capability threshold for cybersecurity. The production model therefore includes stronger safeguards and may refuse or stop some advanced security tasks.
Give an assistant only the tools it needs, require confirmation for sensitive actions, and review outputs with legal, financial, or security consequences.
Try GPT-6 Astra on your own task
Take a technical analysis, a large document set, or a software task and submit the same brief to GPT-6 Astra and GPT-5.6 Sol. GPT-6 Astra is now available in Ayeto and can be selected in your assistant settings alongside models from other providers.