A state-of-the-art general purpose MoE VLM ideal for chat, agentic and instruction based use cases.
Mistral Large 3 675B Instruct Container Overview
Description:
This container houses the Mistral Large 3 675B Instruct 2512 model which is a state-of-the-art general-purpose multimodal granular Mixture-of-Experts model with 41B active parameters and 675B total parameters, trained from the ground up with 3000 H200s. This instruct post-trained version in FP8 precision is fine-tuned for instruction tasks, making it ideal for chat, agentic, and instruction-based use cases. Designed for reliability and long-context comprehension, it is engineered for production-grade assistants, retrieval-augmented systems, scientific workloads, and complex enterprise workflows.
The container components are ready for commercial use.
License/Terms of Use:
GOVERNING TERMS: Use of this NIM is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products. Use of this model is governed by the NVIDIA Open Model License Agreement. Additional Information: Apache License Version 2.0.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
Mistral Large 3 675B Instruct NIM:
The Mistral Large 3 675B Instruct Container includes the Mistral Large 3 675B Instruct model.
| Model Name | Use Case | How to Pull the Model |
|---|---|---|
| Mistral Large 3 675B Instruct | Ideal for chat, agentic, and instruction-based use cases. | 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.
Visit the NVIDIA NIM for Cosmos page for release documentation, deployment guides and more.
Container Version(s):
nvcr.io/nim/mistralai/mistral-large-3-675b-instruct-2512:1.6.0
Security Common Vulnerabilities and Exposures (CVEs)
Please review the Security Scanning tab on NGC to view the latest security scan results. For 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.
Users are responsible for model inputs and outputs. Users are responsible for ensuring safe integration of this model, including implementing guardrails as well as other safety mechanisms, prior to deployment.
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.
Get Help
Getting started with the NIM
Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the mistral-large-3-675b-instruct-2512 NIM page for release documentation, deployment guides and more.
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