Step-Audio-EditX is a large language model for audio editing and synthesis. It enables editing of emotion, speaking style, and paralinguistic features in audio while supporting zero-shot text-to-speech. The model is trained using reinforcement learning techniques including SFT, DPO, and GRPO. It supports cross-lingual capabilities including English, Japanese, and Korean, and can be deployed via vLLM for efficient inference.