Mistral-Medium-3.5-128B VLM model is a dense 128B model with a 256k context window, handling instruction-following, reasoning, and coding in a single set of weights.
Mistral-Medium-3.5-128B Overview
Description:
This NIM container houses the Mistral-Medium-3.5-128B VLM model which, is a dense 128B model with a 256k context window, handling instruction-following, reasoning, and coding in a single set of weights. Mistral Medium 3.5 replaces its predecessor Mistral Medium 3.1 and Magistral in Le Chat. It also replaces Devstral 2 in our coding agent Vibe. Concretely, expect better performance for instruct, reasoning and coding tasks in a new unified model in comparison with our previous released models.
The container components are ready for commercial use.
License/Terms of Use:
GOVERNING TERMS: The use of the NIM container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products. Use of this model is governed by the Modified MIT .
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
Build.NVIDIA.com: 04/29/2026 via link
Huggingface: 04/29/2026 via link
Program Classes:
The Mistral-Medium-3.5-128B Container includes the Mistral-Medium-3.5-128B model.
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Mistral-Medium-3.5-128B | Better performance for instruct, reasoning and coding task. | Automatic |
Deployment Details:
Visit the NIM Container VLM page for release documentation, deployment guides, and more.
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.
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.
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Getting started with the NIM
Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the VLM NIM page for release documentation, deployment guides and more.
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