12:48 PM EDT, 06/10/2026 (MT Newswires) -- Alphabet's (GOOG, GOOGL) Google said Wednesday in a blog post that it launched DiffusionGemma, an experimental open-source large language model that uses a diffusion-based approach to text generation instead of the standard token-by-token method.

Instead of generating text one token at a time, the model produces blocks of text in parallel, allowing it to generate up to four times faster than conventional autoregressive models.

The model is designed to run on high-end GPUs, including quantized configurations that fit within about 18GB of VRAM. The architecture is intended for research and speed-focused interactive workflows, including inline editing, code infilling and other non-linear text generation tasks.

The company said DiffusionGemma prioritizes speed over output quality and recommended using its standard Gemma 4 models for applications requiring higher-quality responses.

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