Google’s Gemini Diffusion demo didn’t get much airtime at I/O, but its blazing speed—and potential for coding—has AI insiders speculating about a shift in the model wars.

One of the most notable advantages of Gemini Diffusion is its speed. Capable of generating up to 800 tokens per second, it is well-suited for applications that demand rapid output, ...

Gemini Diffusion is also useful for tasks such as refactoring code, ... In contrast, Gemini 2.5 Flash has an average output speed of 272.4 tokens per second. Additionally, ...

Gemini Diffusion is a new AI model by Google DeepMind that transforms jumbled inputs into coherent text or code at record speed. It is currently in the testing phase.

Gemini Diffusion ' announced by Google on May 21, 2025, uses a ' diffusion model, ' which is rare for a language model, and is being touted for its fast generation speed.

Google previewed a new AI model, Gemini Diffusion, that it claims is “state-of-the-art” on certain coding and math tasks — leveraging parallel generation to achieve low latency. The version ...

Google showcased the Gemini 2.5 PRO model at Google IO 2025. They previously released beta versions of GEmini2.5 Pro and Gemini 2.5 Flash. They released new. Skip to content. Menu. ... Gemini ...