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Observers in the future may look back at Astra as the model that marked the arrival of artificial general intelligence (AGI), OpenAI president Greg Brockman said soon after the GPT-6 Astra launch announcement. The US-based artificial intelligence (AI) company has not made that a formal claim in its launch materials. What it has published is a model that it says is better at operating computers, working through unfamiliar problems, writing software and doing the kind of multi-step professional work that previously required a person to monitor every step. So it is worth asking what has actually changed, separate from what Brockman said about OpenAI means by AGIOpenAI's Charter defines AGI as "highly autonomous systems that outperform humans at most economically valuable work". That definition has two parts. The system has to be broadly capable across different kinds of work, and it has to be autonomous enough to do that work without a human directing every action. Astra moves further towards that second part than any earlier OpenAI model. This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast. /gDd0IsewJw— OpenAI (@OpenAI) September 3, 2026OpenAI says Astra can fill out forms, update records, research a topic online, work inside a document or spreadsheet, build a website, and install and troubleshoot software, largely on its own once given a goal. The company's numbers back that up to a degree. On OSWorld 2.0, a test that measures how well a model can actually operate a computer, Astra scored 72.6 per cent and took about 40 minutes per task, compared with 65.7 per cent and 75 minutes for its predecessor, GPT-5.6 Sol. It scored 59.3 per cent on a benchmark of realistic office tasks called Agents' Last Exam, and 41.4 per cent on AutomationBench, which tests whether a model can automate a multi-step workflow rather than just answer a question about it. Tasks like these matter to the AGI question because they force a model to hold a goal in mind across many decisions, corrections and tool calls, instead of producing one answer to one prompt.
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