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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-FP8 |
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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-4.6" target="_blank">technical blog</a>, <a href="https://arxiv.org/abs/2508.06471" target="_blank">technical report(GLM-4.5)</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. </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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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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## Recommended Evaluation Parameters |
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For general evaluations, we recommend using a **sampling temperature of 1.0**. |
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For **code-related evaluation tasks** (such as LCB), it is further recommended to set: |
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- `top_p = 0.95` |
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- `top_k = 40` |
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## Evaluation |
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- For tool-integrated reasoning, please refer to [this doc](https://github.com/zai-org/GLM-4.5/blob/main/resources/glm_4.6_tir_guide.md). |
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- For search benchmark, we design a specific format for searching toolcall in thinking mode to support search agent, please refer to [this](https://github.com/zai-org/GLM-4.5/blob/main/resources/trajectory_search.json). for the detailed template. |
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