Z.ai introduces its latest flagship models, the GLM-4.5 and GLM-4.5-Air, which take the capabilities of intelligent assistants to a new level. These models uniquely combine deep analytics, master-level coding, and autonomous task execution. Their special feature is their hybrid operation: with a single click, you can switch between the “Analyze” mode, which requires complex, thoughtful problem solving, and the “Instant” mode, which provides lightning-fast, immediate answers. This versatility, combined with market-leading performance, gives developers and users a more efficient and flexible tool than ever before. In the most important ranking, which summarizes 12 industry tests, the GLM-4.5 took 3rd place among the world's leading models (OpenAI, Anthropic, Google DeepMind), while the smaller but highly efficient GLM-4.5-Air took 6th place. And in terms of autonomous task execution (agent capabilities), GLM-4.5 is the second best on the market. Capabilities in detail 🧠 Reasoning and problem solving GLM-4.5 does not shy away from even the most complex logical, mathematical or scientific problems. By turning on the “analyst” mode, the model is able to think deeply about the task and arrive at the correct solution with impressive accuracy. It achieved outstanding results on such difficult tests as AIME 24 (91.0%) or MATH 500 (98.2%). Its performance also surpasses the OpenAI o3 model in several areas. 💻 Master-level coding - GLM-4.5 is the perfect partner for developers, whether it is building a completely new project or detecting errors in an existing code base. - It outperforms GPT-4.1 and Gemini-2.5-Pro in the SWE-bench Verified test (which measures real-world software development tasks). - It is capable of creating complex, full-stack web applications from database management to backend deployment. - It leads the market with a success rate of 90.6% in device calls, which guarantees that it reliably performs the coding tasks entrusted to it. 🤖 Autonomous task execution (Agent capabilities) - This model is not just a Q&A assistant. It is capable of independently performing complex tasks: browsing the Internet, collecting data, and even creating presentations or spectacular posters from the information it finds. - Its huge, 128,000-token context window allows it to handle large amounts of information at once. - It outperforms Claude-4-Opus in web browsing tests. Under the hood: Performance and architecture The secret to GLM-4.5's impressive performance is its modern Mixture-of-Experts (MoE) architecture. This technology allows the model to activate only the relevant "expert" parts depending on the type of task, thus using the computational capacity extremely efficiently. Thanks to this, GLM-4.5 delivers outstanding performance for its size and is much more parameter-efficient than many of its competitors. Open source Both GLM-4.5 and GLM-4.5-Air are open source. They are freely available to anyone, even for commercial purposes, under the MIT license. The models are available on the Z.ai platform, via API, and can be downloaded from HuggingFace and ModelScope. Multilingualism, Translation, and Security The model has been trained on a large number of multilingual documents, so it performs well not only in English, but also in Chinese and many other languages. It is particularly strong in understanding cultural references and Internet slang, so its translation capabilities often outperform even targeted translation programs. Links GLM-4.5: https://z.ai/blog/glm-4.5GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models: https://arxiv.org/pdf/2508.06471GitHub: https://github.com/zai-org/GLM-4.5Hugging Face: https://huggingface.co/collections/zai-org/glm-45-687c621d34bda8c9e4bf503bOpenRouter: https://openrouter.ai/z-aiChat Z.ai: https://chat.z.ai/
