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AI aws.amazon.com ·6h · 1 min

AWS brings Mistral AI's Ministral-3-14B multimodal model to SageMaker JumpStart

The new 14-billion-parameter compact model can be deployed by AWS customers via SageMaker Studio or SDK, with a focus on multimodal applications and AI agents.

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AWS brings Mistral AI's Ministral-3-14B multimodal model to SageMaker JumpStart

AWS announced the availability of Mistral AI's Ministral-3-14B-Instruct-2512 model on Amazon SageMaker JumpStart. The offering expands the catalog of foundational models accessible to cloud customers and allows the system to be deployed within AWS accounts through SageMaker Studio or the SageMaker Python SDK, according to the company.

According to AWS, the model features 14 billion parameters and was designed to combine text and vision capabilities in a more compact architecture. The company states that Ministral-3-14B-Instruct can analyze images, interpret visual and textual content, and serve as the foundation for AI assistants, computer vision applications, and agentic systems.

AWS also attributes native function calling, JSON output, and multilingual comprehension in languages such as English, French, Spanish, German, Chinese, Japanese, Korean, and Arabic to the model. The company positions these features as relevant for workflows where models need to interact with external tools or structure responses for automation.

SageMaker JumpStart serves as a marketplace for ready-to-deploy models within the SageMaker ecosystem. According to AWS, customers can access Ministral-3-14B-Instruct through the models section of SageMaker Studio and deploy it in their own accounts to tailor the usage to specific AI use cases.

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How can I deploy Mistral AI's Ministral-3-14B model on AWS?

AWS customers can deploy the Ministral-3-14B-Instruct model directly within their own AWS accounts using either the models section in SageMaker Studio or the SageMaker Python SDK.

What are the main features of the Mistral AI Ministral-3-14B model?

The 14-billion-parameter model is a compact architecture that combines text and vision capabilities. It features native function calling, JSON output, multilingual comprehension, and can analyze images to power AI assistants and agentic systems.

What is SageMaker JumpStart?

SageMaker JumpStart is a marketplace within the Amazon SageMaker ecosystem that provides ready-to-deploy foundational models, allowing customers to easily access and deploy AI systems in their own cloud accounts.