GLM-4.6 - The latest flagship model from Zhipu, the most powerful coding model.

What is GLM-4.6?

GLM-4.6 is a new generation of large-scale foundational models launched by Zhipu, with a total of 355B parameters and 32B activation parameters. The model achieves comprehensive advancements in real-world programming, long context processing, inference capabilities, information retrieval, writing capabilities, and agent applications. Its coding capabilities rival Claude Sonnet 4, the context length has been increased to 200K, inference and search capabilities are significantly enhanced, multilingual translation is improved, and its cost-effectiveness is outstanding. GLM-4.6 is compatible with Cambricon chips, enabling efficient inference deployment and providing powerful AI support for developers and enterprises, promoting the widespread application and innovative development of artificial intelligence technology. GLM-4.6 is now available on the Zhipu MaaS platform; subscribe now to experience the model's performance.

Main functions of GLM-4.6

• Programming skillsIt performs exceptionally well in public benchmarks and real-world programming tasks, excelling in complex debugging and cross-tool calls, and providing efficient and accurate code generation and optimization.
• Context processingThe context window has been increased from 128K to 200K, supporting reading of very long documents, cross-file programming, and complex reasoning tasks.
• reasoning abilityIt supports tools to enhance reasoning, achieving the best performance of open-source models on multiple benchmarks, and has strong logical reasoning capabilities.
• Information Search: Optimizes long-term, in-depth information exploration tasks, and excels in in-depth research and integration of internal and external information.
• Writing abilityIts writing style, readability, and role-playing scenarios are more in line with human preferences, and it can generate high-quality text with diverse styles.
• Multilingual translationFurther enhance the effectiveness of cross-language task processing, resulting in accurate and fluent translation.
• Intelligent agent applicationsIt natively supports multiple types of intelligent agent tasks, covering office work, development, writing, and content creation, improving the usability of PPT, the aesthetics of front-end code, and the layout.

GLM-4.6 performance

• Overall evaluationTo comprehensively evaluate the general capabilities of the GLM-4.6, it was tested on seven authoritative benchmarks, including AIME 25, LCB v6, HLE, SWE-Bench Verified, BrowseComp, Terminal-Bench, and τ²-Bench. The results show that the GLM-4.6 performs exceptionally well in most of these benchmarks, rivaling the top international model, Claude Sonnet 4, and firmly holding the top position among domestically produced models.
• Real Programming EvaluationTo more accurately test the performance of GLM-4.6 in real-world programming tasks, real-world programming task tests were conducted in the Claude Code environment. Actual test results show that GLM-4.6 outperforms other domestic models in practical performance and surpasses the top international model, Claude Sonnet 4. In terms of average token consumption, GLM-4.6 is lower than many models, and compared to GLM-4.5, GLM-4.6 can save more than 30% of token consumption in similar tasks.

• Hardware adaptation
  • Cambricon chip adaptationGLM-4.6 has been deployed in FP8+Int4 hybrid quantization on Cambricon's domestically produced chips. This is the first time that an integrated FP8+Int4 model chip solution has been put into production on domestically produced chips. It significantly reduces inference costs while maintaining the same accuracy.
  • Moore's Threads GPU AdaptationBased on the vLLM inference framework, Moore Threads' new generation of GPUs can stably run GLM-4.6 with native FP8 precision, demonstrating the powerful advantages of the MUSA architecture and full-featured GPUs in terms of ecosystem compatibility and rapid support.

How to use GLM-4.6

• Use via Zhipu MaaS platform
  • Access PlatformLog in to the Zhipu MaaS platform bigmodel.cn, register and create an account.
  • Select ModelFind the GLM-4.6 model on the platform and select the corresponding service or package.
  • Input problemEnter your question or task on the platform interface, such as text generation, code generation, search, etc.
  • Get ResultsAfter clicking submit, the platform will call the GLM-4.6 model and return the generated results.
• Using API interface
  • Get API KeyAfter registering an account on the Zhipu MaaS platform, obtain the API key.
  • Calling the APIAccording to the API documentation provided by the platform, use an HTTP request to call the GLM-4.6 API interface, passing the problem or task as a parameter.
  • Analysis results: Receives the JSON format result returned by the API and parses its contents.
• Through the z.ai platformOverseas users can use GLM-4.6 through the z.ai platform.

GLM-4.6 subscription service optimization

• Feature ExpansionThe addition of image recognition and search capabilities further enriches the functionality of the subscription service.
• Tool SupportSupports 10+ mainstream programming tools such as Claude Code, Roo Code, Kilo Code, and Cline, meeting the diverse needs of different developers.
• Package upgrade:
  • We have launched the GLM Coding Max package, which provides three times the usage for high-frequency, heavy developers to meet their high-intensity development needs.
  • The new GLM Coding Plan Enterprise Edition provides enterprise users with a coding solution that combines security, cost-effectiveness, and world-class performance, helping enterprises develop efficiently.
• Improved cost performanceBy optimizing package content and usage, we provide developers and businesses with more cost-effective options.

Application scenarios of GLM-4.6

• Programming DevelopmentGLM-4.6 can efficiently generate high-quality code, support complex debugging and cross-tool calls, help developers improve programming efficiency and easily handle various development tasks.
• Document processingGLM-4.6 can easily handle very long documents, supports cross-file programming and complex reasoning tasks, and meets the needs of document reading, editing and analysis.
• Intelligent ReasoningThe model can quickly and accurately solve complex problems, providing users with efficient and intelligent reasoning support.
• Information SearchThe model can help users quickly obtain key information and improve work efficiency.
• Writing and CreationIt better aligns with human preferences in terms of writing style, readability, and role-playing scenarios, generating high-quality, diverse texts to meet the writing needs of academic papers, novels, and other creative endeavors.