GLM-4.6
GLM-4.6 is an advanced large language model featuring an extended 200K token context window, superior coding and reasoning capabilities, and enhanced agentic performance. It is designed for developers and researchers seeking powerful AI for coding, reasoning, and agent-based applications.
GLM-4.6 is api software teams evaluate for software & gaming. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Quick Overview
Best for: Software & Gaming
What it does
API software for decision-makers comparing workflow fit and alternatives.
Best fit
Software & Gaming
Pricing snapshot
Paid from Approximately 1/7th the price of Claude-level performance
Next step
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GLM-4.6
GLM-4.6 is the latest iteration of the GLM series, offering significant improvements over its predecessor GLM-4.5. It features a longer context window of 200K tokens, enabling it to handle more complex agentic tasks and multi-turn interactions. The model demonstrates superior coding performance, achieving higher benchmark scores and excelling in real-world coding applications such as Claude Code, Cline, Roo Code, and Kilo Code. Additionally, GLM-4.6 exhibits advanced reasoning capabilities and supports tool use during inference, making it highly effective within agent frameworks. It also provides refined writing that aligns better with human preferences in style and readability, including natural role-playing scenarios. The model has been evaluated across multiple public benchmarks, showing clear gains in capability and efficiency compared to GLM-4.5 and competitive performance against other leading models.
Advanced Agentic, Reasoning and Coding Capabilities
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Claim this listingKey Features
Extended Context Window
Supports a context window of 200K tokens, allowing for handling of more complex and longer tasks.
Superior Coding Performance
Achieves higher scores on code benchmarks and performs better in real-world coding applications, including generating visually polished front-end pages.
Advanced Reasoning
Improved reasoning capabilities with support for tool use during inference, enhancing overall model strength.
Enhanced Agentic Capabilities
Stronger performance in tool using and search-based agents, integrating effectively within agent frameworks.
Refined Writing Style
Better alignment with human preferences in style and readability, with natural performance in role-playing scenarios.
Token Efficiency
Completes tasks with approximately 15% fewer tokens compared to GLM-4.5, improving efficiency.
Pricing
GLM Coding Plan
Approximately 1/7th the price of Claude-level performance- Access to GLM-4.6 coding agents
- 3x the usage quota compared to competitors
Use Cases
Coding Assistance
Used within coding agents like Claude Code, Kilo Code, Roo Code, and Cline to provide advanced code generation and development support.
Agentic Task Handling
Supports complex multi-turn agentic tasks requiring long context understanding and tool integration.
Reasoning and Analysis
Applied in scenarios requiring advanced reasoning capabilities and tool use during inference.
Natural Language Interaction
Engages in refined, human-aligned writing and role-playing scenarios for conversational AI applications.
Integrations
Claude Code, Kilo Code, Roo Code, Cline
GLM-4.6 is integrated within these coding agents to enhance code generation and development workflows.
Z.ai API Platform
Provides API access to GLM-4.6 models for easy integration into applications.
OpenRouter
Alternative platform to access GLM-4.6 models.
Inference Frameworks (vLLM, SGLang)
Supported frameworks for local deployment and inference of GLM-4.6.
Benefits
Limitations
Frequently Asked Questions
How does GLM-4.6 improve over GLM-4.5?
Where can I access GLM-4.6?
Is there a free tier available for GLM-4.6?
Can I use GLM-4.6 for coding tasks?
Are the model weights publicly available?
Getting Started
- 1 Access GLM-4.6 via the Z.ai API platform or OpenRouter for API integration.
- 2 For GLM Coding Plan subscribers, update model name to 'glm-4.6' in app configurations to upgrade.
- 3 New users can subscribe to the GLM Coding Plan at https://z.ai/subscribe for cost-effective access.
- 4 Use GLM-4.6 on Z.ai chat platform by selecting the GLM-4.6 model option.
- 5 For local deployment, download model weights from HuggingFace or ModelScope and follow deployment instructions using supported inference frameworks like vLLM or SGLang.
Support
Documentation
Comprehensive API documentation and integration guides are available at https://docs.z.ai/guides/llm/glm-4.6.
Subscription Support
Support available through subscription plans at https://z.ai/subscribe.
Community Resources
Evaluation data and benchmarks are publicly available for community research at https://huggingface.co/datasets/zai-org/CC-Bench-trajectories.
API
API documentation and integration guidelines are available at https://docs.z.ai/guides/llm/glm-4.6.
Not specified in the available information.
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