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GLM-4.7-Flash - Zhipu Open Source Hybrid Thinking Model

GLM-4.7-Flash is a free, open-source hybrid thinking model from Zhipu, featuring 30 billion parameters and 3 billion activation parameters. The model achieves a balance between performance and efficiency, performing exceptionally well in various scenarios, including programming, Chinese writing, and translation.

What is GLM-4.7-Flash?

GLM-4.7-Flash is a free and open-source hybrid thinking model from Zhipu, featuring 30 billion parameters and 3 billion activation parameters. The model achieves a balance between performance and efficiency, performing exceptionally well in various scenarios including programming, Chinese writing, and translation, with overall performance surpassing similar open-source models. The model is available on Zhipu's open platform, BigModel.cn, and users can access it for free, supporting open-source deployment. GLM-4.7-Flash will replace the soon-to-be-discontinued GLM-4.5-Flash, providing users with a more powerful language model experience.

Main functions of GLM-4.7-Flash

  • Multilingual Dialogue GenerationThe model can conduct fluent and accurate Chinese and English conversations, supports a variety of topics and scenarios, and provides a natural language interaction experience.
  • Text generation and creationThe model excels at generating high-quality text content, such as creative writing, story creation, and copywriting, meeting diverse text generation needs.
  • Programming aidsIt performs exceptionally well in programming scenarios, providing code suggestions, logic optimizations, and solutions to programming problems, thus assisting developers in programming efficiently.
  • Translation and Language ConversionIt supports translation between multiple languages, provides accurate language conversion services, and helps users overcome language barriers.
  • Long text processingThe model can handle long text input and output, making it suitable for scenarios that require processing complex text content, such as academic writing and report generation.
  • Emotions and Role PlayingBased on user needs, we can simulate emotions and role-play to provide a more personalized interactive experience.
  • Knowledge Q&ACombining a wealth of knowledge, the model answers various questions, including common sense and academic knowledge, helping users obtain information.

GLM-4.7-Flash performance

  • BenchmarkingGLM-4.7-Flash outperforms gpt-oss-20b and Qwen3-30B-A3B-Thinking-2507 in mainstream benchmark tests such as SWE-bench Verified and τ²-Bench, achieving the SOTA (State-of-the-Art) score among open-source models.
  • Internal programming testsIn internal programming tests, GLM-4.7-Flash performed excellently in both front-end and back-end tasks.

How to use GLM-4.7-Flash

  • API Access
    • Experience CenterVisit the BigModel.cn open platform experience center to experience the features of GLM-4.7-Flash online.
    • User GuideRefer to the BigModel Open Platform User Guide (https://docs.bigmodel.cn/cn/guide/models/free/glm-4.7-flash) for instructions on how to access and use the API.
    • API documentationSee the model API documentation at https://docs.bigmodel.cn/api-reference/model-api/ for detailed API call methods and parameter descriptions.
  • Open source deployment
    • Hugging FaceObtain the model code through Hugging Face (https://huggingface.co/zai-org/GLM-4.7-Flash) for local deployment and customized development.
    • Magic Dash CommunityDownload the model resources from the ModelScope community (https://modelscope.cn/models/ZhipuAI/GLM-4.7-Flash) and deploy them as open source.

Project address for GLM-4.7-Flash

  • Project official websiteBigModel.cn
  • HuggingFace model libraryhttps://huggingface.co/zai-org/GLM-4.7-Flash

Application scenarios of GLM-4.7-Flash

  • Natural Language DialogueUsed for intelligent customer service and chatbots, providing natural and smooth conversational interaction and enhancing user experience.
  • Text generation and creationThe model supports creative writing, copywriting, and academic writing, generating high-quality text content.
  • Programming aidsThe model can generate code snippets, optimize code quality, answer programming questions, and improve development efficiency.
  • Translation and Language ConversionThe model enables multilingual translation and language learning assistance, helping users overcome language barriers.
  • Knowledge Q&AProvides general knowledge and professional Q&A to help you quickly obtain accurate information.
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