ChatGPT to debut on Pentagon's GenAI.mil in ‘early July’, OpenAI says

OpenAI will bring ChatGPT to GenAI.mil, the Pentagon’s generative-AI platform, in "early July," a company official said Tuesday.

The AI firm is working with the Chief Digital and Artificial Intelligence Office, Mohammed Husain—the company's strategic delivery lead for cyber—said at the Defense One Tech Summit in Arlington, Virginia.

“I think we're going live extremely soon, and excited to make a broader announcement about that in early July,” Husain said.

That will make ChatGPT available to more than 3 million defense personnel and certified for controlled unclassified information and Impact Level 5. The Pentagon launched GenAI.mil in December with plans to integrate Gemini for Government; officials later announced plans to incorporate AI models from OpenAI and xAI. In late April, senior defense officials said more than 1.3 million users were regularly using the platform, having developed more than 100,000 AI agents.

Federal agencies have been using ChatGPT since at least January 2025. Last August, the company offered its model at a discount through a OneGov deal with the General Services Administration. Earlier this month, OpenAI’s latest model, ChatGPT 5.4, was made available to the federal workforce on Amazon’s Bedrock and GovCloud platforms.

Husain said he expected users would demand more tokens—converted data that can be interpreted and processed by an AI system—and models that use them more efficiently. 

“These models consume a ton of tokens, and it turns out that if you want to complete the most valuable work, it's going to take more tokens,” he said. “And so one thing I think will become much more a part of the conversation…is this concept of 'token efficiency'.” 

Husain said token efficiency was less about processing speed and more about cost per completed task. He said the June debut of OpenAI’s GPT-5.5, GPT-5.4, and Codex on Amazon Bedrock would enable further deployment of more intelligent, token-heavy models. 

“I think deploying these models, they're going to be much more intelligent, they're going to consume more tokens,” he said. “So I think cost efficiency is going to become a really interesting part of the story.”

He said government agencies were eager for more computing power for multicloud and on-prem environments, a void companies like AWS are hurrying to fill.