Professional-level code generation and optimization capabilities
GLM-4.5's specially optimized code generation capability is one of its differentiating competencies. The model includes a large amount of GitHub quality code in the pre-training data of 15 trillion tokens, and has been intensively fine-tuned for mainstream languages such as Python and JavaScript. Tests show that its generated code not only has a syntactic accuracy rate of more than 92%, but also automatically follows coding specifications such as PEP8.
In practical application cases, GLM-4.5 demonstrates three core capabilities: first, complete functionality, such as outputting 150+ lines of usable code with graphical interface according to the instruction "implement a game of Snake"; second, intelligent debugging, which can identify and fix common code errors; and third, style migration, which can reconfigure procedural codes into object-oriented patterns. Especially noteworthy is that the model supports 96K long code output and has the ability to generate complete project files, which makes it an efficient tool for developers to perform Rapid Prototyping.
This answer comes from the articleGLM-4.5: Open Source Multimodal Large Model Supporting Intelligent Reasoning and Code GenerationThe
