Description:

This container houses GLM-5.1, which is a next-generation flagship model for agentic engineering with significantly stronger coding capabilities than its predecessor GLM-5. The model achieves state-of-the-art performance on SWE-Bench Pro and leads GLM-5 by a wide margin on NL2Repo and Terminal-Bench 2.0.

The container components are ready for commercial use.

Third-Party Community Consideration

The model embedded in the container is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA GLM-5.1 Model Card.

License/Terms of Use:

GOVERNING TERMS: The NIM container is governed by the NVIDIA Software and Model Evaluation license; use of the model is governed by the NVIDIA Open Model License Agreement.

Additional Information: MIT License.

You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.

Deployment Geography:

Global

Release Date:

NGC: 4/13/2026 via link

Program Classes:

GLM-5.1 Container includes the following model:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

tr:nth-child(odd)]:bg-surface-sunken\">

Model Name & Link	Use Case	How to Pull the Model
GLM-5.1	GLM-5.1 is a next-generation flagship model for agentic engineering with significantly stronger coding capabilities, excelling at long-horizon agentic tasks.	Automatic

Deployment Details:

Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.

Reference(s):

GLM-5.1 Model Card
GLM-5.1 Blog
GLM-5 Technical Report (arXiv:2602.15763)
NIM Container LLM Documentation

Container Version(s):

glm-5.1:1.7.0-variant

Security Common Vulnerabilities and Exposures (CVEs)

Please review the Security Scanning tab on NGC to view the latest security scan results.\nFor certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.

Ethical Considerations

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.

Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.

Get Help

NVIDIA Developer Community Forum

Get access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)

Getting started with the NIM

Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM Container page for release documentation, deployment guides and more.

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The model achieves state-of-the-art performance on SWE-Bench Pro and leads GLM-5","## Description:\nThis container houses **GLM-5.1**, which is a next-generation flagship model for agentic engineering with significantly stronger coding capabilities than its predecessor GLM-5. The model achieves state-of-the-art performance on SWE-Bench Pro and leads GLM-5 by a wide margin on NL2Repo and Terminal-Bench 2.0.\n\n*The container components are ready for commercial use.*\n\n## Third-Party Community Consideration\nThe model embedded in the container is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA [GLM-5.1 Model Card](https://huggingface.co/zai-org/GLM-5.1).\n\n## License/Terms of Use:\n\n**GOVERNING TERMS:** The NIM container is governed by the [NVIDIA Software and Model Evaluation license](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-and-model-evaluation-license/); use of the model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).\n\nAdditional Information: [MIT License](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md).\n\n**You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.**\n\n## Deployment Geography:\n\nGlobal\n\n## Release Date:\n\n**NGC:** 4/13/2026 via [link](https://catalog.ngc.nvidia.com/orgs/nim/teams/zai-org/containers/glm-51)\n\n## Program Classes:\n\nGLM-5.1 Container includes the following model:\n\n| Model Name & Link | Use Case | How to Pull the Model |\n| :---- | :---- | :---- |\n| GLM-5.1 | GLM-5.1 is a next-generation flagship model for agentic engineering with significantly stronger coding capabilities, excelling at long-horizon agentic tasks. | Automatic |\n\n## Deployment Details:\n\nOur AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.\n\n## Reference(s):\n\n* [GLM-5.1 Model Card](https://huggingface.co/zai-org/GLM-5.1)\n* [GLM-5.1 Blog](https://z.ai/blog/glm-5.1)\n* [GLM-5 Technical Report (arXiv:2602.15763)](https://arxiv.org/abs/2602.15763)\n* [NIM Container LLM Documentation](https://docs.nvidia.com/nim/large-language-models/latest/introduction.html)\n\n## Container Version(s):\n\nglm-5.1:1.7.0-variant\n\n## Security Common Vulnerabilities and Exposures (CVEs)\n\nPlease review the Security Scanning tab on NGC to view the latest security scan results.\nFor certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.\n\n## Ethical Considerations\n\nNVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.\n\nPlease report quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).\n\n## Get Help\n\n### NVIDIA Developer Community Forum\n\nGet access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)\n\n### Getting started with the NIM\n\nDeploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the [NIM Container page](https://catalog.ngc.nvidia.com/orgs/nim/teams/zai-org/containers/glm5_1) for release documentation, deployment guides and more.","GLM-5.1",["D",1781204249587],[322,323,324,256],"/api/image/nim/zai-org/containers/glm-51",11665491933,{"_315":316,"_317":318,"_319":320,"_321":26},"hasSignedTag",[309],[307],[],[303],[],{"_94":304,"_126":304,"_127":305,"_129":306},"signed images",{"_131":306,"_126":304},"system",{"_94":125,"_126":125,"_127":308,"_129":130},{"_131":130,"_126":125},{"_94":310,"_126":311,"_127":312,"_129":313},"NVIDIA NIM","nimmcro_nvidia_nim",{"_131":314,"_126":311},"feature","nvidia_nim","governingTerms","

The NIM container is governed by theNVIDIA Software and Model Evaluation license; use of this model is governed by theNVIDIA Open Model License.ADDITIONAL INFORMATION:MIT License.

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