GLM-TTS is a high-quality TTS system based on large language models with a two-stage architecture: an LLM generates speech token sequences and a Flow model converts them to audio waveforms. It introduces multi-reward reinforcement learning for improved emotional expression and natural prosody control, supporting zero-shot voice cloning with 3-10 seconds of prompt audio and streaming inference.