We’re always working on new approaches to improve our models, including making them more efficient and performant. Our latest research model, Gemini Diffusion, is a state-of-the-art text diffusion model that learns to generate outputs by converting random noise into coherent text or code, like how our current state-of-the-art models in image and video generation work.

The experimental demo of Gemini Diffusion released today generates content significantly faster than our fastest model so far, while matching its coding performance. If you're interested in getting access to the demo, please sign up for the waitlist.

We’ll continue our work on different approaches to lowering latency in all our Gemini models, with a faster 2.5 Flash Lite coming soon.