LLaDA 1.5 is a diffusion-based language model, which sets it apart from the autoregressive approach used by most large language models. Rather than generating text token by token left to right, it operates by iteratively denoising a masked sequence — a fundamentally different generative process. This architectural distinction makes it an interesting research artifact, though practical capability details beyond its diffusion-based nature are limited.