G

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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.
745B parameter AI model built for agentic intelligence and frontier-level reasoning.
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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.

Core Features
745B Total / 44B Active MoE Architecture
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Agentic Intelligence for autonomous planning and tool use
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Full US-Hardware Independence (Huawei Ascend/MindSpore)
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DeepSeek Sparse Attention (DSA) for efficient long-context processing
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Expected MIT License for open-weight commercial use
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Popular Use Cases
  • Developing autonomous AI agents for multi-step workflow management
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  • High-level code generation, debugging, and software engineering
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  • Complex mathematical proofs and scientific logical reasoning
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  • Cost-effective enterprise-scale content generation
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Feature Comparison
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
  • GLM-5 is scheduled for a February 2026 launch. Once released
  • users can access it via Zhipu AI's API platform or download the open-weight model (expected MIT license) from Hugging Face for local deployment
  • fine-tuning
  • and integration into autonomous agent workflows.
Pricing
G uses a freemium pricing model. Pricing and features may change over time.
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