Who makes Pixtral Large?

Pixtral Large is developed by Mistral AI.

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Pixtral Large

Name: Pixtral Large
Author: Mistral AI

by Mistral AI

AI Model

Low Confidence

Pixtral Large is a multimodal AI model developed by Mistral AI, designed to process and generate both text and image inputs. It is positioned as a competitor to models like GPT-4o and Gemini, offering advanced capabilities in understanding and generating content across multiple modalities. Pixtral Large is part of Mistral AI's broader suite of AI models, which are known for their efficiency and performance in natural language processing and computer vision tasks. The model is likely optimized for applications requiring integrated text and image analysis, such as content creation, visual question answering, and multimodal search.

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

Image Generation

Visual Question Answering

Multimodal Search

Content Creation

Translation

Summarization

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

View AI products

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

Images

Conversation Logs

Metadata

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.

Pixtral Large

Legal & Terms

EU Alternatives

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Privacy & Security

Compliance

Other