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GLM-4.7-Flash - Zhipu's Open-Source Hybrid Reasoning Model

Author: AI小集 · Original source: AI工具集

What is GLM-4.7-Flash

GLM-4.7-Flash is a free, open-source hybrid reasoning model from Zhipu, featuring 30 billion parameters and 3 billion activated parameters. The model strikes a balance between performance and efficiency, excelling especially in programming, Chinese writing, translation, and many other scenarios, with overall performance surpassing similar open-source models. The model is now available on the Zhipu Open Platform BigModel.cn, where users can call it for free and it supports open-source deployment. GLM-4.7-Flash will replace the soon-to-be-retired GLM-4.5-Flash, providing users with a more powerful language model experience.

GLM-4.7-Flash

Main Features of GLM-4.7-Flash

  • Multilingual Dialogue Generation: The model can engage in fluent and accurate Chinese and English conversations, supporting a variety of topics and scenarios and providing a natural language interaction experience.
  • Text Generation and Creation: The model excels at generating high-quality text content, such as creative writing, story creation, and copywriting, meeting different text generation needs.
  • Programming Assistance: It performs excellently in programming scenarios, providing code suggestions, logic optimization, and answers to programming questions, helping developers program efficiently.
  • Translation and Language Conversion: It supports translation between multiple languages, providing accurate language conversion services to help users overcome language barriers.
  • Long Text Processing: The model can process long text input and output, making it suitable for scenarios that require handling complex text content, such as academic writing and report generation.
  • Emotion and Role-Playing: It performs emotion simulation and role-playing according to user needs, providing a more personalized interaction experience.
  • Knowledge Q&A: Combined with a rich knowledge base, the model answers various questions, including common sense and academic knowledge, helping users obtain information.

Performance of GLM-4.7-Flash

  • Benchmark Tests: In mainstream benchmarks such as SWE-bench Verified and τ²-Bench, GLM-4.7-Flash's overall performance exceeds gpt-oss-20b and Qwen3-30B-A3B-Thinking-2507, achieving SOTA (State-of-the-Art) scores among open-source models.
  • Internal Programming Tests: In internal programming tests, GLM-4.7-Flash performs excellently on front-end and back-end tasks.
GLM-4.7-Flash

How to Use GLM-4.7-Flash

  • API Access
    • Experience Center: Visit the Zhipu Open Platform Experience CenterBigModel.cnto directly experience the features of GLM-4.7-Flash online.
    • User Guide: Refer to the Zhipu Open Platform user guide https://docs.bigmodel.cn/cn/guide/models/free/glm-4.7-flash，了解如何接入和使用 API。
    • API Documentation: View the model API documentation https://docs.bigmodel.cn/api-reference/模型-api/对话补全，获取详细的 for API calling methods and parameter descriptions.
  • Open-Source Deployment
    • Hugging Face: Via Hugging Face https://huggingface.co/zai-org/GLM-4.7-Flash to obtain the model code for local deployment and customized development.
    • ModelScope Community: On the ModelScope Community https://modelscope.cn/models/ZhipuAI/GLM-4.7-Flash to download model resources for open-source deployment.

Project Address for GLM-4.7-Flash

  • Project Official Website：BigModel.cn
  • HuggingFace Model Repository：https://huggingface.co/zai-org/GLM-4.7-Flash

Application Scenarios of GLM-4.7-Flash

  • Natural Language Dialogue: Used in intelligent customer service and chatbots to provide natural and fluent conversational interaction and enhance user experience.
  • Text Generation and Creation: The model supports creative writing, copywriting, and academic writing, generating high-quality text content.
  • Programming Assistance: The model can generate code snippets, optimize code quality, answer programming questions, and improve development efficiency.
  • Translation and Language Conversion: The model can perform multilingual translation and assist language learning, helping users overcome language barriers.
  • Knowledge Q&A: Provides general knowledge and professional domain Q&A, enabling quick access to accurate information.