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What is Mistral Large 3?

Mistral Large 3 is a frontier-scale open AI model built on a sophisticated Mixture-of-Experts framework that unlocks 41B active parameters per step while maintaining a massive 675B total parameter capacity. This architecture lets the model deliver exceptional reasoning, multilingual mastery, and multimodal understanding at a fraction of the compute cost typically associated with models of this scale. Trained entirely from scratch on 3,000 NVIDIA H200 GPUs, it reaches competitive alignment performance with leading closed models, while achieving best-in-class results among permissively licensed alternatives. Mistral Large 3 includes base and instruction editions, supports images natively, and will soon introduce a reasoning-optimized version capable of even deeper thought chains. Its inference stack has been carefully co-designed with NVIDIA, enabling efficient low-precision execution, optimized MoE kernels, speculative decoding, and smooth long-context handling on Blackwell NVL72 systems and enterprise-grade clusters. Through collaborations with vLLM and Red Hat, developers gain an easy path to run Large 3 on single-node 8×A100 or 8×H100 environments with strong throughput and stability. The model is available across Mistral AI Studio, Amazon Bedrock, Azure Foundry, Hugging Face, Fireworks, OpenRouter, Modal, and more, ensuring turnkey access for development teams. Enterprises can go further with Mistral’s custom-training program, tailoring the model to proprietary data, regulatory workflows, or industry-specific tasks. From agentic applications to multilingual customer automation, creative workflows, edge deployment, and advanced tool-use systems, Mistral Large 3 adapts to a wide range of production scenarios. With this release, Mistral positions the 3-series as a complete family—spanning lightweight edge models to frontier-scale MoE intelligence—while remaining fully open, customizable, and performance-optimized across the stack.

What is EXAONE?

EXAONE is a cutting-edge language model developed by LG AI Research, aimed at fostering "Expert AI" in multiple disciplines. To bolster EXAONE's capabilities, the Expert AI Alliance was formed, uniting leading companies from various industries for collaborative efforts. These partner organizations will serve as mentors, providing their knowledge, skills, and data to help EXAONE excel in targeted areas. Similar to a college student who has completed their general studies, EXAONE needs specialized training to achieve true mastery in specific fields. LG AI Research has already demonstrated the potential of EXAONE through real-world applications, such as Tilda, an AI human artist that premiered at New York Fashion Week, and AI tools that efficiently summarize customer service interactions and extract valuable insights from complex academic texts. This initiative underscores not only the innovative uses of AI technology but also the critical role of collaboration in pushing technological boundaries. Moreover, the ongoing partnerships within the Expert AI Alliance promise to yield even more groundbreaking advancements in the future.

Media

Media

Integrations Supported

Mistral AI
RunPod
Simtheory

Integrations Supported

Mistral AI
RunPod
Simtheory

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai

Company Facts

Organization Name

LG

Date Founded

1947

Company Location

South Korea

Company Website

lgresearch.ai/

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