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GLM-4.6 - Zhipu's Latest Flagship Model, the Strongest Coding Model

Author: AI小集 · Original source: AI工具集

What is GLM-4.6

GLM-4.6 is a new-generation foundation large model launched by Zhipu, with a total parameter count of 355B and 32B activated parameters. The model achieves comprehensive advances in real-world programming, long-context processing, reasoning capabilities, information search, writing capabilities, and agent applications. Its code capabilities are on par with Claude Sonnet 4, the context length has been increased to 200K, reasoning and search capabilities are significantly enhanced, multilingual translation performance is better, and cost-effectiveness advantages are prominent. GLM-4.6 is adapted to Cambricon chips, enabling efficient inference deployment, providing powerful AI support for developers and enterprises, and promoting the widespread application and innovative development of artificial intelligence technology. GLM-4.6 is now available onZhipu MaaSplatform. Subscribe now to experience the model's performance.

GLM-4.6

Main Features of GLM-4.6

  • Programming Capabilities: Excellent performance in public benchmarks and real-world programming tasks, outstanding in complex debugging, cross-tool invocation, and other scenarios, with efficient and accurate code generation and optimization.
  • Context Processing: The context window has been increased from 128K to 200K, supporting ultra-long document reading, cross-file programming, and complex reasoning tasks.
  • Reasoning Capabilities: Supports tool-augmented reasoning, achieves the best performance among open-source models on multiple evaluation benchmarks, and has strong logical reasoning capabilities.
  • Information Search: Optimized for long-horizon and deep information exploration tasks, excelling at deep research and integration of internal and external information.
  • Writing Capabilities: Writing style, readability, and role-playing scenarios better align with human preferences, capable of generating high-quality, stylistically diverse text.
  • Multilingual Translation: Further enhances cross-lingual task performance, with accurate and fluent translation.
  • Agent Applications: Natively supports multiple types of agent tasks, covering office work, development, writing, and content creation, improving PPT usability, front-end code aesthetics, and layout.

Performance of GLM-4.6

  • Comprehensive Evaluation: To comprehensively evaluate the general capabilities of GLM-4.6, tests were conducted on 7 authoritative benchmarks, including AIME 25, LCB v6, HLE, SWE-Bench Verified, BrowseComp, Terminal-Bench, and τ²-Bench. The results show that GLM-4.6 performs excellently on most leaderboards, on par with the international top model Claude Sonnet 4, and firmly ranks first among domestic models.
  • Real-World Programming Evaluation: To more accurately test GLM-4.6's performance in real-world programming tasks, in the Claude Code environment, real-scenario programming task tests were conducted. Actual test results show that GLM-4.6 surpasses other domestic models in actual performance and leads the international top model Claude Sonnet 4. In terms of average tokens consumed, GLM-4.6 is lower than multiple models, and compared with GLM-4.5 , GLM-4.6 can save more than 30% of tokens consumed on similar tasks.
GLM-4.6 GLM-4.6
  • Hardware Adaptation
    • Cambricon Chip Adaptation: GLM-4.6 has achieved FP8+Int4 hybrid quantized deployment on Cambricon domestic chips. This is the first FP8+Int4 model-chip integrated solution put into production on domestic chips, greatly reducing inference costs while maintaining unchanged precision.
    • Moore Threads GPU Adaptation: Based on the vLLM inference framework deployment, Moore Threads' new-generation GPU can stably run GLM-4.6 based on native FP8 precision, demonstrating the strong advantages of the MUSA architecture and full-featured GPU in ecosystem compatibility and rapid support.

How to Use GLM-4.6

  • Using via the Zhipu MaaS Platform
    • Visit the Platform: Log in toZhipu MaaSplatform bigmodel.cn, register and create an account.
    • Select a Model: Find the GLM-4.6 model on the platform and select the corresponding service or package.
    • Enter a Question: Enter your question or task in the platform interface, such as text generation, code generation, search, etc.
    • Get the Result: After clicking submit, the platform will call the GLM-4.6 model and return the generated result.
  • Using the API Interface
    • Get an API Key: On theZhipu MaaSplatform, register an account and obtain an API key.
    • Call the API: According to the API documentation provided by the platform, use HTTP requests to call the GLM-4.6 API interface, passing the question or task as parameters.
    • Parse the Result: Receive the JSON-formatted result returned by the API and parse its contents.
  • Via the z.ai Platform: Overseas users can usez.aiplatform to use GLM-4.6.

Optimization of GLM-4.6 Subscription Services

  • Feature Expansion: Added image recognition and search capabilities, further enriching the functional scope of subscription services.
  • Tool Support: Supports Claude Code,Roo Code、Kilo Code、Cline and 10+ mainstream programming tools, meeting the diverse needs of different developers.
  • Package Upgrades：
    • Launched the GLM Coding Max package, providing triple usage for high-frequency heavy developers to meet high-intensity development needs.
    • Added the GLM Coding Plan enterprise edition package, providing enterprise users with a coding solution that combines security, cost-effectiveness, and world-class performance, helping enterprises develop efficiently.
  • Improved Cost-Effectiveness: By optimizing package contents and usage, providing developers and enterprises with more cost-effective options.

Application Scenarios of GLM-4.6

  • Programming and Development: GLM-4.6 can efficiently generate high-quality code, support complex debugging and cross-tool invocation, help developers improve programming efficiency, and easily handle various development tasks.
  • Document Processing: GLM-4.6 can easily handle ultra-long documents, support cross-file programming and complex reasoning tasks, and meet document reading, editing, and analysis needs.
  • Intelligent Reasoning: The model can quickly and accurately solve complex problems, providing users with efficient and intelligent reasoning support.
  • Information Search: The model can help users quickly obtain key information and improve work efficiency.
  • Writing and Creation: In writing style, readability, and role-playing scenarios, it is more in line with human preferences, generating high-quality, style-diverse text to meet writing needs such as academic papers and novel creation.