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GLM-4.6

Paid

Advanced LLM for coding, agentic tasks, and long-context processing

4.4
New AI ToolsContact
Inputs: textOutputs: text
Type
Saas
Company
Zhipu AI
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About GLM-4.6

GLM-4.6 is a large language model (LLM) that specializes in code generation, research assistance, writing, and translation with a context window of up to 200k tokens. It is described as being performant in agentic tasks, meaning it can autonomously execute multi-step workflows and adapt responses based on the required tone—professional or creative. The model is designed to automate tasks such as generating presentations and adjusting its output style to suit different contexts, making it a versatile tool for professionals and developers. GLM-4.6 is listed as a model within the GLM series (by Zhipu AI, based on publicly known information) and is available as a SaaS offering. Its capabilities are primarily text-based, focusing on understanding and generating human language across diverse domains. The pricing model is listed as 'contact', indicating that costs are not publicly disclosed and should be obtained directly from the provider. Given its strong context window and agentic focus, GLM-4.6 is positioned as a competitor to other advanced LLMs like GPT-5.5 and Claude Opus 4.7, though direct feature comparisons require further verification.

Key Features

Expert-level code generation and analysis
Research assistance and document summarization
Context window of up to 200k tokens for handling long documents
Agentic task automation and multi-step workflow execution
Automatic tone adaptation (professional or creative)
Presentation generation from text inputs
Multilingual translation and writing support

Pros & Cons

Pros
  • Large context window (200k tokens) suitable for long-form content
  • Designed for agentic and autonomous task execution
  • Adapts tone to professional or creative contexts
  • Supports code, research, writing, and translation in one model
  • Appears to offer strong multilingual capabilities based on description
Cons
  • Pricing model is 'contact'—no public pricing available; costs must be verified directly
  • No mention of image, video, or audio processing capabilities (likely text-only)
  • Free tier or trial availability is not specified
  • Performance on specific tasks may vary; no independent benchmarks provided in the listing
  • Requires internet access (SaaS model); not offline-capable based on available information

Best For

Automated code debugging and generation for developersSummarizing lengthy research papers or reportsDrafting, rewriting, and translating content in multiple languagesCreating slide decks or outlines for presentationsBuilding AI-powered assistants for complex reasoning tasksAdapting communication style for customer-facing or internal documents

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FAQ

What is GLM-4.6 primarily used for?
Based on the description, GLM-4.6 is an LLM expert in code, research, writing, and translation. It is also designed for agentic tasks, allowing it to automate workflows, generate presentations, and adapt its tone to different contexts.
Does GLM-4.6 support long documents?
Yes, the model claims a context window of 200,000 tokens, which allows processing of lengthy texts such as reports, books, or codebases in a single pass.
Is GLM-4.6 free to use?
The pricing model is listed as 'contact', meaning there is no publicly advertised free tier. Users should reach out to the provider to inquire about access options or costs.
Can GLM-4.6 generate presentations?
According to the available information, GLM-4.6 can generate presentations, likely by structuring content into slide formats based on user prompts.
What languages does GLM-4.6 support?
The description highlights translation and writing capabilities, suggesting support for multiple languages. The exact language list should be verified on the official product page.
How does GLM-4.6 compare to other models like GPT-5.5 or Claude Opus?
GLM-4.6 is positioned in the same category as these models, with a focus on agentic tasks and a 200k context window. Direct comparisons on performance, pricing, or features require checking each provider's official documentation.