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---
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language:
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- en
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- zh
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library_name: transformers
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license: mit
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pipeline_tag: text-generation
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---
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# GLM-4.6
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<div align="center">
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<img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo.svg width="15%"/>
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</div>
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<p align="center">
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👋 Join our <a href="https://discord.gg/QR7SARHRxK" target="_blank">Discord</a> community.
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<br>
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📖 Check out the GLM-4.6 <a href="https://z.ai/blog/glm-4.5" target="_blank">technical blog</a>, <a href="https://arxiv.org/abs/2508.06471" target="_blank">technical report</a>, and <a href="https://zhipu-ai.feishu.cn/wiki/Gv3swM0Yci7w7Zke9E0crhU7n7D" target="_blank">Zhipu AI technical documentation</a>.
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<br>
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📍 Use GLM-4.6 API services on <a href="https://docs.z.ai/guides/llm/glm-4.6">Z.ai API Platform (Global)</a> or <br> <a href="https://docs.bigmodel.cn/cn/guide/models/text/glm-4.6">Zhipu AI Open Platform (Mainland China)</a>.
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<br>
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👉 One click to <a href="https://chat.z.ai">GLM-4.6</a>.
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</p>
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## Model Introduction
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### GLM-4.6
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Compared with GLM-4.5, **GLM-4.6** brings several key improvements:
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* **Longer context window:** The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks.
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* **Superior coding performance:** The model achieves higher scores on code benchmarks and demonstrates better real-world performance in applications such as Claude Code、Cline、Roo Code and Kilo Code, including improvements in generating visually polished front-end pages.
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* **Advanced reasoning:** GLM-4.6 shows a clear improvement in reasoning performance and supports tool use during inference, leading to stronger overall capability.
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* **More capable agents:** GLM-4.6 exhibits stronger performance in tool using and search-based agents, and integrates more effectively within agent frameworks.
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* **Refined writing:** Better aligns with human preferences in style and readability, and performs more naturally in role-playing scenarios.
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We evaluated GLM-4.6 across eight public benchmarks covering agents, reasoning, and coding. Results show clear gains over GLM-4.5, with GLM-4.6 also holding competitive advantages over leading domestic and international models such as **DeepSeek-V3.1-Terminus** and **Claude Sonnet 4**.
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## Inference
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**Both GLM-4.5 and GLM-4.6 use the same inference method.**
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you can check our [github](https://github.com/zai-org/GLM-4.5) for more detail.
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