Zhipu AI / glm-4.6
Models
| Model | Size | Context Length | Input Modalities |
|---|---|---|---|
| glm-4.6 | - | 198K | Text |
GLM-4.6: Advanced Agentic Model
GLM-4.6 represents a significant advancement in the GLM series, bringing key improvements in agentic capabilities, reasoning, and coding performance. With a massive 200K token context window and cloud-optimized deployment, GLM-4.6 is designed for complex, real-world applications requiring advanced tool use and long-context understanding.
Key Features
- Extended Context Window: 200K token context (up from 128K) for handling complex agentic tasks and large-scale document processing
- Superior Coding Performance: Achieves higher scores on code benchmarks with improved real-world performance in applications like Claude Code, Cline, Roo Code, and Kilo Code
- Advanced Reasoning: Clear improvement in reasoning performance with support for tool use during inference
- Enhanced Agentic Capabilities: Stronger performance in tool using and search-based agents, better integration with agent frameworks
- Refined Writing: Better alignment with human preferences in style and readability, more natural role-playing capabilities
- Competitive Benchmark Performance: Clear gains over GLM-4.5 and competitive advantages over leading models like DeepSeek-V3.1-Terminus and Claude Sonnet 4
Model Variants
| Name | Size | Context | Input Modalities | Description |
|---|---|---|---|---|
| glm-4.6 | - | 198K | Text | Cloud-optimized advanced agentic model |
Technical Capabilities
Agentic Intelligence
GLM-4.6 excels at complex agentic tasks:
- Tool Integration: Advanced tool use during inference for real-world applications
- Search-Based Agents: Enhanced performance in search and information retrieval tasks
- Agent Framework Integration: Seamless integration with existing agent frameworks
- Long-Horizon Planning: Ability to handle complex, multi-step tasks with extended context
Coding Performance
- Benchmark Leadership: Higher scores on code benchmarks compared to previous versions
- Front-End Development: Improved generation of visually polished front-end pages
- Code Understanding: Better comprehension of large codebases and complex programming concepts
- Real-World Applications: Enhanced performance in practical coding scenarios
Reasoning and Language
- Advanced Reasoning: Improved logical and mathematical reasoning capabilities
- Human-Like Writing: Better alignment with human preferences in style and readability
- Role-Playing: More natural performance in role-playing scenarios
- Multilingual Support: Comprehensive language understanding and generation
Benchmark Performance
GLM-4.6 demonstrates clear improvements across eight public benchmarks covering agents, reasoning, and coding:
Agentic Benchmarks
| Benchmark | GLM-4.6 | GLM-4.5 | DeepSeek-V3.1-Terminus | Claude Sonnet 4 |
|---|---|---|---|---|
| Tool Use | 92.4 | 88.7 | 90.1 | 91.8 |
| Search Agent | 89.3 | 85.2 | 87.6 | 88.4 |
| Multi-Step Planning | 87.6 | 83.1 | 85.4 | 86.2 |
Reasoning Benchmarks
| Benchmark | GLM-4.6 | GLM-4.5 | DeepSeek-V3.1-Terminus | Claude Sonnet 4 |
|---|---|---|---|---|
| Logical Reasoning | 88.9 | 85.3 | 87.2 | 88.1 |
| Mathematical Reasoning | 86.4 | 82.7 | 84.9 | 85.6 |
| Commonsense Reasoning | 91.2 | 88.5 | 89.7 | 90.3 |
Coding Benchmarks
| Benchmark | GLM-4.6 | GLM-4.5 | DeepSeek-V3.1-Terminus | Claude Sonnet 4 |
|---|---|---|---|---|
| Code Generation | 85.7 | 81.2 | 83.5 | 84.2 |
| Code Understanding | 88.3 | 84.6 | 86.1 | 87.0 |
| Front-End Development | 89.1 | 85.4 | 87.3 | 88.0 |
Use Cases
Agentic Applications
- Complex Task Automation: Handle multi-step workflows with tool integration
- Enterprise Automation: Streamline business processes with intelligent agents
- Research Assistance: Advanced information retrieval and synthesis
- Decision Support: Provide data-driven recommendations for complex decisions
Software Development
- Code Generation: Create production-ready code from natural language descriptions
- Front-End Development: Generate visually polished web interfaces
- Code Review: Automated code quality assessment and improvement
- Legacy Modernization: Refactor and update legacy codebases
Content Creation
- Technical Writing: Generate high-quality documentation and reports
- Creative Writing: Assist in storytelling and content development
- Role-Playing: Create interactive, character-driven experiences
- Multilingual Content: Generate and translate content across languages
Getting Started
GLM-4.6 cloud model is available through various API providers. For more information:
- API Documentation: GLM-4.6 API Guide
- Model Information: GLM-4.6 Technical Report
- Community: Join the GLM community for support and use case sharing
- Playground: Test GLM-4.6 capabilities in the interactive playground
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