OpenAI is planning to bring its Sora video generation tool into ChatGPT, according to a report by The Information published Tuesday. The move would allow users to generate videos directly within the main ChatGPT interface rather than switching to a separate platform.
The standalone Sora app launched in September 2025 with a TikTok-style social feed and initially hit number one on the US App Store, crossing one million downloads faster than ChatGPT itself. The momentum didn’t last. Installs dropped 45% month-over-month in January, the app fell out of Apple’s top 100 in the United States, and consumer spending on the platform declined sharply. An earlier collaboration with Walt Disney to enable video creation featuring Disney IP inside Sora failed to reverse the trend.
The integration would follow the same playbook OpenAI used with DALL-E, which moved from a standalone product into ChatGPT’s core experience. ChatGPT has hundreds of millions of active users — considerably more than Sora attracted on its own.
A credits-based economy is expected to manage compute costs, with Sora head Bill Peebles previously noting that high-fidelity and extended-duration settings consume more resources per generation. OpenAI is also sunsetting the original Sora 1 model on 13 March for US users. The standalone app is expected to continue operating after the integration. No launch date has been confirmed.
The distribution logic is fairly straightforward. A video tool with nine million downloads is of limited strategic value. A video tool embedded in a product used by hundreds of millions is something else. What’s less clear is how the compute costs get managed at scale — video generation is substantially more expensive to run than text — and whether casual ChatGPT users will generate videos in meaningful volume or simply ignore the capability, as they have largely ignored several previous multimodal additions.
The competitive context doesn’t help OpenAI’s position. Sora faces growing competition from Google’s Veo 3 and Meta’s Vibes. Folding video generation into ChatGPT’s interface is arguably the most effective distribution play available to the company. Whether it translates into meaningful commercial adoption, or just higher infrastructure costs, is the question the integration doesn’t yet answer.
