GLM 5

GLM 5 is the fifth-generation large language model from Zhipu AI, built on a Mixture of Experts (MoE) architecture with a massive 745 billion total parameters and 44 billion active parameters. Emerging from a spin-off of Tsinghua University, it is engineered for agentic intelligence, frontier-level reasoning, and advanced coding capabilities.

A standout feature is its full hardware independence: GLM 5 was trained entirely on Huawei Ascend chips using the MindSpore framework, freeing it from reliance on any single hardware ecosystem.

Positioned as a direct, cost-effective challenger to global models like GPT-5 and Claude, GLM 5 places a strong focus on open-source availability and long-context processing through DeepSeek's sparse attention mechanism, making frontier-level AI more accessible and affordable.