Who makes Voxtral mini 2407?

Voxtral mini 2407 is developed by Mistral AI.

What can Voxtral mini 2407 do?

Voxtral mini 2407 specializes in text generation, conversation, translation, summarization, code generation.

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Voxtral mini 2407

Name: Voxtral mini 2407
Author: Mistral AI

by Mistral AI

AI Model

Low Confidence

Voxtral-mini-2407 is a lightweight, multilingual large language model (LLM) developed by Mistral AI. It is designed for efficient text generation, conversation, and language understanding tasks with a focus on low-latency performance and reduced computational requirements. The model is part of Mistral AI's broader suite of AI models, which emphasize accessibility, multilingual support, and adaptability for various applications, including chatbots, content generation, and code assistance. Voxtral-mini-2407 is optimized for deployment in resource-constrained environments while maintaining competitive performance in natural language processing (NLP) tasks.

Transparency Score

45%

Limited transparency

Supply Chain

20/20

Compliance

10/20

Policy

10/25

Technical

0/25

Ethical & Operational

5/10

Capabilities

Text Generation

Conversation

Translation

Summarization

Code Generation

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

Black Forest Labs

subprocessor

Image Generation

View AI products Website

Twilio

subprocessor

Phone number verification

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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

Pii

User Content

Conversation Logs

Code Snippets

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.

Voxtral mini 2407

Legal & Terms

EU Alternatives

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Privacy & Security

Compliance

Other