GLM-5 Released, Positioned as a System-Level AI Engineer
In February 2026, Zhipu AI announced its next-generation open-source large model, GLM-5. Unlike previous models focused on front-end ‘Vibe Coding,’ GLM-5 shifts its focus to ‘Agentic Engineering,’ aiming to solve deeper, more complex engineering tasks like system architecture and back-end refactoring. Following its release, demand for the official ‘GLM Coding Plan’ service surged, with platforms like Ollama and Modal providing immediate support.
Technical Upgrades and Performance
To achieve its Agentic capabilities, GLM-5 underwent significant architectural upgrades. The model’s parameter count was expanded to 744B (with 40B active), and it integrates a Sparse Attention mechanism to reduce long-text processing costs. It is trained on a new asynchronous reinforcement learning framework, Slime, enhancing the model’s planning and self-correction abilities in long-horizon tasks.
On multiple authoritative benchmarks, GLM-5 has shown outstanding performance. It scored 77.8 on SWE-bench-Verified and 56.2 on Terminal Bench 2.0, with overall performance surpassing Gemini 3.0 Pro and on par with Claude Opus 4.5. On the Artificial Analysis Agentic capability leaderboard, the model ranks third globally and first among open-source models.
Building a Complete Ecosystem and Domestic Adaptation
Alongside GLM-5, Zhipu AI has launched a new development environment, Z Code, and a desktop automation tool, AutoGLM. The model can also directly generate documents (.docx), spreadsheets (.xlsx), and other files, streamlining the entire workflow from development to delivery.
Furthermore, GLM-5 has completed deep adaptation with major domestic computing platforms like Huawei Ascend, Moore Threads, Cambricon, and KunlunXin. This ensures high-efficiency, stable operation on domestic hardware, establishing a hardware-software synergistic foundation for the large-scale deployment of AI model applications.
