DiffusionGemma generates text four times faster than standard autoregressive models by predicting tokens in parallel. This approach utilizes a diffusion process to refine noise into coherent language. While it improves speed, the model currently struggles with long-form coherence compared to traditional LLMs. Developers can now test this alternative architecture for low-latency applications.