Analysis of the Impact of Zhipu AI's Open-Sourcing of GLM-4.7 on China's AI Industry Competitive Landscape and Investment Opportunities

Zhipu AI’s flagship model GLM-4.7, open-sourced on December 23, 2025, has enhanced coding capabilities, long-range task planning, and tool collaboration in Coding scenarios, while improving comprehensive performance in chat, writing, and role-playing. Technically, the model has performed excellently in multiple benchmark tests, including SWE-bench-Verified (73.8%, open-source SOTA), LiveCodeBench V6 (84.9%, exceeding Claude Sonnet 4.5), HLE reasoning test (42.8%, exceeding GPT-5.1), ranking first among open-source models and first among domestic models in the Code Arena coding evaluation system, and achieving an 87.4 score (open-source SOTA) in the τ²-Bench evaluation for tool calling capability [1][2][3].

Regarding the open-source strategy, as a key initiative before Zhipu AI’s Hong Kong IPO, the open-sourcing of GLM-4.7 aims to lower the threshold for enterprises to use high-performance AI models, support local deployment and deep fine-tuning, to expand the developer ecosystem, enhance market influence, and build user barriers [0].

In terms of industry competitive landscape, the open-sourcing of GLM-4.7 will intensify competition in the domestic AI large model market in the Coding and agent fields, forming direct competition with domestic open-source models such as MiniMax M2.1; meanwhile, the model has received support from international platforms like TRAE, Cerebras, and Vercel, demonstrating the global competitiveness of domestic open-source models [0][3].

1. Capital-Technology Resonance
   : Zhipu AI’s IPO plan and the open-source release of GLM-4.7 form a synergistic effect, which may attract more investor attention and enhance the company’s valuation potential in the capital market [0].
2. Developer Ecosystem Drive
   : The characteristics of open-source models will attract more developers to participate in usage and contributions, accelerating the expansion of the GLM ecosystem, while strengthening ecosystem stickiness through the integration of API services and z.ai full-stack development mode [0].
3. Industry Chain Linkage Effect
   : The promotion of GLM-4.7 will drive the development of related industry chain links such as AI infrastructure (e.g., computing chips, storage) and model fine-tuning services, forming industry-linked growth [0].
4. Global Competitiveness Enhancement
   : The integration with international platforms verifies the technical strength of domestic open-source models, helping to narrow the gap with international giants like OpenAI and Google, and enhancing the global market influence of domestic models [0][3].

1. Developer Ecosystem Growth
   : The open-source strategy lowers the usage threshold, which will attract a large number of developers and promote the rapid expansion of the GLM ecosystem [0].
2. International Market Expansion
   : The integration with international platforms like TRAE and Cerebras verifies the technical strength of domestic open-source models, helping to narrow the gap with international giants like OpenAI and Google, and enhancing the global market influence of domestic models [0][3].
3. IPO Investment Potential
   : Zhipu AI’s IPO plan and GLM-4.7’s technical breakthrough form a “capital + technology” double benefit, which may become a focus of investor attention [0].
4. Industry Chain Opportunities
   : Related industry chain links such as AI infrastructure and model fine-tuning services will benefit from the promotion of GLM-4.7 [0].

1. Practical Application Verification
   : GLM-4.7 has just been released, and its practical application effects and market acceptance still need time to be verified [0].
2. Uncertainty in Technical Details
   : The claim that GLM-4.7 has 358B parameters has not been officially confirmed and needs further verification [0].
3. Competition from International Giants
   : International giants like OpenAI and Google continue to iterate their models, so GLM-4.7 faces fierce global market competition [0].
4. Detail Completion Issues
   : Some observers believe that GLM-4.7 still has a gap in detail completion compared to international giants like Gemini and ChatGPT [0].

As Zhipu AI’s new-generation open-source flagship model, GLM-4.7 has excellent technical performance. Its open-source strategy will reshape the competitive landscape of domestic AI large models, promote the expansion of the developer ecosystem, and drive the development of the industry chain. The synergistic effect between it and Zhipu AI’s IPO plan may attract investor attention, but there are also risks such as practical application verification, uncertainty in technical details, and international competition. Overall, this event reflects the enhanced competitiveness of domestic open-source AI models in the global market, bringing new development momentum and investment opportunities to China’s AI industry [0][1][2][3].