# Google's new open model DiffusionGemma generates text from noise instead of word by word

> Source: <https://the-decoder.com/googles-new-open-model-diffusiongemma-generates-text-from-noise-instead-of-word-by-word/>
> Published: 2026-06-10 19:20:46+00:00

Google released DiffusionGemma, a 26-billion-parameter model that generates text not token by token but through diffusion, similar to how image AI turns noise into a picture. According to Nvidia, it hits about 1,000 tokens per second on a single H100 GPU, roughly four times faster than comparable autoregressive models. The speed comes at a cost, though. Output quality is lower, so Google is positioning it as an experimental tool for developers for now.

The article [Google's new open model DiffusionGemma generates text from noise instead of word by word](https://the-decoder.com/googles-new-open-model-diffusiongemma-generates-text-from-noise-instead-of-word-by-word/) appeared first on [The Decoder](https://the-decoder.com).