GLM-4.6

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.

Paid API Enterprise 75/100
#36 in Coding (36 tools)
Added 0 year ago
17873 directory views this week

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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Key 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

Handles longer and more complex tasks with a 200K token context window.
Delivers superior coding performance with real-world application improvements.
Improves reasoning and tool use capabilities for stronger AI agents.
Enhances writing style to better match human preferences and natural interactions.
Increases token efficiency, reducing resource consumption during tasks.

Limitations

Despite improvements, GLM-4.6 still lags behind Claude Sonnet 4.5 in coding ability.
No free tier is available, which may limit accessibility for some users.

Frequently Asked Questions

How does GLM-4.6 improve over GLM-4.5?
GLM-4.6 offers a longer context window (200K tokens vs. 128K), better coding and reasoning performance, improved agentic capabilities, refined writing style, and greater token efficiency.
Where can I access GLM-4.6?
GLM-4.6 is accessible via the Z.ai API platform, OpenRouter, the Z.ai chat interface, and can be deployed locally using publicly available model weights.
Is there a free tier available for GLM-4.6?
No free tier is mentioned; access is provided through subscription plans such as the GLM Coding Plan.
Can I use GLM-4.6 for coding tasks?
Yes, GLM-4.6 is integrated into multiple coding agents and offers superior coding performance for real-world development tasks.
Are the model weights publicly available?
Yes, GLM-4.6 model weights are publicly available on HuggingFace and ModelScope for local deployment.

Getting Started

  1. 1 Access GLM-4.6 via the Z.ai API platform or OpenRouter for API integration.
  2. 2 For GLM Coding Plan subscribers, update model name to 'glm-4.6' in app configurations to upgrade.
  3. 3 New users can subscribe to the GLM Coding Plan at https://z.ai/subscribe for cost-effective access.
  4. 4 Use GLM-4.6 on Z.ai chat platform by selecting the GLM-4.6 model option.
  5. 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

Available: Yes
Documentation:

API documentation and integration guidelines are available at https://docs.z.ai/guides/llm/glm-4.6.

Rate Limits:

Not specified in the available information.

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