About This Site
745B parameter AI model built for agentic intelligence and frontier-level reasoning. GLM-5 is Zhipu AI's fifth-generation large language model, featuring a massive 745 billion total parameters and 44 billion active parameters in a Mixture of Experts (MoE) architecture. Developed as a spin-off from Tsinghua University, GLM-5 is engineered for agentic intelligence, frontier-level reasoning, and advanced coding capabilities. A standout feature is its full hardware independence, having been trained entirely on Huawei Ascend chips using the MindSpore framework. It serves as a direct, cost-effective challenger to global models like GPT-5 and Claude, with a strong focus on open-source availability and long-context processing through DeepSeek's sparse attention mechanism.
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Key Features AI
Core Features
745B Total / 44B Active MoE Architecture
Agentic Intelligence for autonomous planning and tool use
Full US-Hardware Independence (Huawei Ascend/MindSpore)
DeepSeek Sparse Attention (DSA) for efficient long-context processing
Expected MIT License for open-weight commercial use
Advantages
Significant cost advantage over competitors like GPT-5
Sovereign AI stack independent of US-manufactured hardware
High efficiency through MoE and sparse attention mechanisms
Anticipated open-weight release for community development
缺点：Official benchmarks are still pending full release
缺点：Training on MindSpore/Ascend may require specific technical expertise
缺点：Full availability not expected until Q1 2026
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