GLM-5

GLM-5 is a next-generation open-source model for complex systems engineering and long-horizon agentic tasks, scaled to ~744B sparse parameters (~40B active) with ~28.5T pretraining tokens. It integrates DeepSeek Sparse Attention (DSA) to retain long-context capacity while reducing inference cost, and leverages the “slime” asynchronous RL stack to deliver strong performance in reasoning, coding, and agentic benchmarks.