OpenAI Says GPT-6 Astra Is State-of-the-Art in Computer Use as Agentic Products Expand

OpenAI said GPT-6 Astra is a major step forward in AI capability, the world's most intelligent and aligned model, and state-of-the-art in computer use, browsing, software engineering, cybersecurity, science, and professional work. The company said AI is expanding what people and businesses can achieve, with ideas once held back by time, cost, or access to expertise becoming practical to pursue, opening the door to breakthroughs in human achievement, new businesses, new markets, and new possibilities. OpenAI said its full stack compute strategy gives greater control over the capacity, performance, and the cost of delivering that intelligence, and that these advantages compound as better models open up new work and more efficient compute makes that work affordable at a greater scale. The company's products reach more than one billion weekly active users and 2.5 million businesses. Every research advance improves ChatGPT, ChatGPT Work, Codex, and applications built on its API, with one investment in model research supporting many products and their diversified revenue streams. People who know ChatGPT at home bring that familiarity to work, and enterprise deployments give them tools suited to complex work and the requirements of their organization. OpenAI said it expects a continuous blurring between these traditionally more distinct segments as its agentic products get to know users better as a person at work and in personal life, with individual use and enterprise deployments expanding over time. In a study of people on individual ChatGPT plans, daily message volume was roughly 50% higher six months after signup than in the first month, and people had tried roughly twice as many distinct tasks. OpenAI said its business model lets it earn revenue as that use grows. Free access, supported by advertising, helps people discover where AI is useful, while subscriptions and usage-based offerings let customers spend more as they find more value. Increasing model capability expands what customers can afford to do, so a business can fix a process that once demanded too much specialist time or enter a market it could not previously serve profitably. Revenue from growing adoption funds further research and infrastructure, strengthening the ability to pursue the next breakthrough and bring it to people everywhere.