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GLM-5 is an open-source foundation model built for complex systems engineering and long-horizon agent workflows. It delivers production-grade productivity in large-scale programming tasks, with performance aligned with top closed-source models, and is designed for expert developers who think and build at the system level. Purpose-built for multi-stage, long-step complex tasks, GLM-5 autonomously decomposes system-level requirements with an architect-level approach while maintaining context coherence across automated workflows that run for hours.
Key Capabilities:
GLM-5 API Usage
Endpoint
How to use GLM-5
Model details
Architecture Overview:
• Open-source foundation model built for complex systems engineering and long-horizon agent workflows
• Designed for expert developers who think and build at the system level
• FP8 quantization for efficient inference
• Performance aligned with top closed-source models like Claude Opus 4.6
• Purpose-built for multi-stage, long-step complex tasks requiring deep reasoning
Training Methodology:
• Trained on large-scale programming tasks and system-level engineering workflows
• Emphasis on deep system construction and long-range agent execution
• Optimized for backend architecture design and complex algorithm implementation
• Self-reflection and error correction training for iterative debugging
• Architect-level decomposition of system requirements
Performance Characteristics:
• Agentic Long-Horizon Planning: Autonomously decomposes system-level requirements with architect-level approach
• Context Coherence: Maintains goal alignment across automated workflows running for hours
• Backend Refactoring: Strong depth reasoning in backend architecture design and complex algorithm implementation
• Deep Debugging: Analyzes logs, identifies root causes, iteratively fixes compilation/runtime failures
• Self-Correction: Robust error correction mechanisms ensuring end-to-end system execution
• Opus-Level Intelligence: Code logic density and systems engineering capability benchmarking against Claude Opus 4.6
• Open-Source Flexibility: Production deployment options with strong cost efficiency
Prompting GLM-5
Applications & Use Cases
Large-Scale Systems Engineering:
• Complex backend architecture design and refactoring
• Multi-service system construction with deep integration requirements
• Large codebase modernization and migration projects
• Distributed systems design and implementation
• Microservices architecture planning and execution
• System-level performance optimization and scaling
Long-Horizon Agent Workflows:
• Automated workflows running for hours with maintained goal alignment
• Multi-stage deployment pipelines with autonomous error recovery
• Complex CI/CD orchestration with self-correction mechanisms
• End-to-end system automation requiring deep reasoning
• Infrastructure-as-code generation and management
Deep Debugging & Error Resolution:
• Root cause analysis of complex compilation failures
• Runtime error diagnosis across distributed systems
• Log analysis and issue identification in large-scale applications
• Iterative debugging with self-reflection mechanisms
• Production incident resolution requiring system-level understanding
Backend Architecture & Algorithms:
• Complex algorithm implementation and optimization
• Database schema design and query optimization
• API design and backend service architecture
• Performance-critical code generation and refactoring
• System bottleneck identification and resolution
Expert Developer Workflows:
• Architect-level system decomposition and planning
• Technical debt reduction in enterprise codebases
• Legacy system modernization with maintained functionality
• Code review and architectural consultation
• System design documentation and technical specifications
Open-Source Alternative Deployment:
• Teams requiring Opus-level intelligence with open-source flexibility
• Cost-efficient production deployment for systems engineering tasks
• On-premises or private cloud deployment with full model control
• Custom fine-tuning for domain-specific systems engineering
• Research and development requiring model transparency

