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GLM
Open source Models
Updated Sep 16, 2026
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Compared with 24 other Models agents Open source Self-hostable Updated Sep 2026
Open Source
Updated Sep 2026
Self-hostable
Pricing
Open SourcePricing not publicly listed (open-source project).
Use cases
Autonomous AI agents for task automation Specialized NLP pipelines with dynamic model routing Research on efficient large-scale language model architectures Customizable foundation for agentic applications
Pros & cons
Pros
- Open-source and self-hostable
- MoE architecture improves computational efficiency
- Designed specifically for agentic tasks
- Customizable expert routing
Cons
- Requires technical expertise to deploy and customize
- MoE architectures can be complex to optimize
- Performance depends on expert specialization quality
- Limited documentation compared to commercial alternatives
Overview
GLM is a series of open-source Mixture of Experts (MoE) language models designed for agentic tasks, such as autonomous decision-making and task execution. Developed by Z.ai, it focuses on efficient scaling and specialized model routing for complex AI workflows.
Problem it solves
It enables efficient deployment of large language models by dynamically activating only relevant model components (experts), reducing computational costs while maintaining performance.
Target audience: Developers and teams working with models automation.
Inputs
- User configuration
- API credentials (if required)
- Task parameters
Outputs
- Automated task results
- Status reports
- Generated content or actions
Example workflow
- 1 User configures the agent with required parameters
- 2 Agent receives input data or trigger
- 3 Agent processes the request using its core logic
- 4 Agent interacts with external services if needed
- 5 Results are returned to the user
Sample system prompt
You are GLM, an AI assistant. Help the user accomplish their task efficiently.
Tools & technologies
LLM APIs Python
Alternatives
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FAQs
- What is GLM?
- GLM is a series of open-source Mixture of Experts (MoE) language models designed for agentic tasks, such as autonomous decision-making and task execution. Developed by Z.ai, it focuses on efficient scaling and specialized model routing for complex AI workflows.
- How much does GLM cost?
- GLM's pricing model is Open Source. Pricing not publicly listed (open-source project).
- What is GLM used for?
- GLM is used for: Autonomous AI agents for task automation; Specialized NLP pipelines with dynamic model routing; Research on efficient large-scale language model architectures; Customizable foundation for agentic applications.
- What are the best alternatives to GLM?
- GLM is a Models AI agent. Compare it with the best alternatives — ranked by features, pricing, and use case — on our GLM alternatives page.
- Is GLM open source?
- Yes, GLM is open source.
- Can GLM be self-hosted?
- Yes, GLM can be self-hosted.
- What skill level is required to use GLM?
- GLM is designed for intermediate users.
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GLM