On September 11th, at the 2025 Bund Conference, Ant Group and Renmin University of China jointly released "LLaDA-MoE," the industry's first natively MoE-based diffuse language model (dLLM). Experimental data showed that the LLaDA-MoE model outperformed diffuse language models such as LLaDA1.0/1.5 and Dream-7B in coding, mathematics, and agent tasks, approaching or surpassing the autoregressive model Qwen2.5-3B-Instruct. It achieved the performance equivalent to a 3B dense model with only 1.4B parameters activated.