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OpenAI Launches GPT-6 Astra, Rolls Out to Enterprise Users
OpenAI has launched its latest large language model, GPT-6 Astra, making it available today for select enterprise clients with a broader rollout planned for the coming days. The company also detailed the pricing structure for API access, signaling its latest move to commercialize its most advanced artificial intelligence technology.
Phased Rollout and Pricing
According to the announcement, the new model is immediately accessible to enterprise customers with "daybreak access." OpenAI stated that a wider release will follow, extending availability to all Plus, Pro, Business, and Enterprise users over the next few days.
For developers and businesses integrating the model into their own applications, the company has established a clear pricing tier for API usage:
- Input: $10 per million tokens
- Output: $50 per million tokens
This pricing structure is a key metric for companies calculating the cost of deploying AI-powered features at scale and will be closely watched by the market.
AdPlatform Availability and Updates
In addition to its direct subscription services, OpenAI confirmed that GPT-6 Astra will be accessible through the OpenAI API and Amazon Web Services (AWS), providing multiple integration paths for developers. This multi-platform availability is crucial for driving widespread adoption in the enterprise software ecosystem.
Alongside the flagship model release, OpenAI also announced an update to its Codex Harness tool. The company said the update is designed to improve the speed of computer use, though further technical details were not immediately provided.
Market Implications
The launch of GPT-6 Astra represents OpenAI's latest effort to maintain its competitive edge in the rapidly advancing AI sector. By prioritizing enterprise customers and providing transparent API pricing from day one, the company is focusing on the high-value commercial market, where businesses are increasingly embedding generative AI into their core operations. The model's performance and cost-efficiency will be critical factors in its competition with models from other major technology firms.
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