Who makes Ministral 3 3B Base 2512?

Ministral 3 3B Base 2512 is developed by Mistral AI.

What can Ministral 3 3B Base 2512 do?

Ministral 3 3B Base 2512 specializes in text generation, code generation, conversation, summarization, translation.

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Ministral 3 3B Base 2512

Name: Ministral 3 3B Base 2512
Author: Mistral AI

by Mistral AI

AI Model

Low Confidence

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities. This model is the base pre-trained version, not fine-tuned for instruction or reasoning tasks, making it ideal for custom post-training processes. For instruction and chat based use cases, we recommend using Ministral 3 3B Instruct 2512. The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware. Ministral 3 3B can even be deployed locally, fitting in 16GB of VRAM in BF16, and less than 8GB of RAM/VRAM when quantized.

Transparency Score

60%

Moderate transparency

Supply Chain

20/20

Compliance

10/20

Policy

10/25

Technical

15/25

Ethical & Operational

5/10

Capabilities

Text Generation

Code Generation

Conversation

Summarization

Translation

Vendor Information

Complete information about the vendor/provider of this AI application

Company Name

Mistral AIView all products →

Legal Entity

Mistral AI

Contact Information

Website

mistral.ai/

support@mistral.ai

Registered Address

15 rue des Halles, Paris, 75001, France

EU AI Act Provider Information

Verification Status:

Unverified

Legal Entity

Mistral AI

Registered Address

15 rue des Halles, Paris, 75001, France

Contact

support@mistral.ai

EU Authorized Representative

Mistral AI

15 rue des Halles, Paris, France

Compliance Documents

CE Marking: Not Applicable

Supply Chain Network

Visual representation of the vendor's digital supply chain relationships

Subprocessors

Third-party vendors and subprocessors used by this vendor

Twilio

subprocessor

Phone number verification

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Google, LLC

subprocessor

Cloud Infrastructure

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Policies & Documents

Legal, privacy, and compliance documentation

Legal & Terms

Acceptable Use Policy

Compliance & Risk

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Data Categories

Types of data commonly processed by this application

User Content

Conversation Logs

Code Snippets

Pii

Known Limitations

Mistral models have a finite context window (e.g., 32k tokens for some versions). This means they may struggle with very long documents or conversations, potentially losing track of earlier details. While strong at many tasks, the models can make logical errors or oversimplify nuanced reasoning, especially in highly technical or abstract domains. Mistral models are trained on data up to a specific cutoff date (e.g., November 2024 for some versions). They may not have real-time or post-cutoff knowledge unless fine-tuned or augmented with external tools. While multilingual, performance is generally stronger in high-resource languages (e.g., English, French) compared to low-resource languages.

Ministral 3 3B Base 2512

Legal & Terms

EU Alternatives

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Privacy & Security

Compliance

Other