GLM-4.6 from Z.AI is a state-of-the-art language model that has been specially developed for demanding application areas such as agentic systems, precise reasoning and complex code generation. Through a combination of efficient mixture-of-experts architecture, deep neural structures and a reinforcement-optimized training process, GLM-4.6 offers outstanding performance in benchmarks – and highest reliability in real-world applications. Ideal for anyone who needs scalable AI solutions with tool integration and thinking mode.
GLM-4.6
Z.AI (Zhipu AI Inc.)
September 2025
Apache 2.0 (open source, commercially usable)
Mixture-of-Experts (MoE) language model
355 billion (of which 32B active per token)
MoE, 200k context, grouped query attention, 96 attention heads, deep architecture, QK standard, multi-token prediction (MTP) layer
Unigram, 160k vocabulary
128,000 tokens
We would be happy to advise you individually on which AI model suits your requirements. Arrange a no-obligation initial consultation with our AI experts and exploit the full potential of AI for your project!
GLM-4.6 was trained in a multi-stage training process on 15 trillion tokens of general data and an additional 7 trillion tokens of specialized data for reasoning, code and agentic tasks. The curriculum was specifically tailored to real-world requirements through reinforcement learning – including function calling, web browsing and tool usage.
The use of Expert Distillation and structured multi-stage training ensures that GLM-4.6 is not only convincing in benchmarks, but also in practical use with high robustness and accuracy.
Is GLM-4.6 the right AI model for your individual application? We will be happy to advise you comprehensively and personally.
Whether you want to develop a functional AI agent with tool use or automate complex decision-making processes: GLM-4.6 provides the architecture, flexibility and scalability that modern AI applications need today. We advise you individually on integration, hosting and operation – on request with infrastructure from our German data center.
