Back
Last updated: May 10, 2025
Share
Overview
Mistral AILarge 2 is a powerful LLM with open access, capable of reasoning, writing, and code generation.
Key Features
✦ Open-Weights Access: Fully downloadable for self-hosted deployments.
✦ High-Performance Architecture: Designed for fast inference and large-scale applications.
✦ Instruction-Following Fine-Tuning: Optimized for aligned outputs.
✦ Multilingual Support: Effective across several major languages.
✦ Modular Model Design: Integrates well with various systems and APIs.
Advantages
🟩 Open Source: Encourages innovation and transparency.
🟩 Efficient Performance: Optimized for cost-effective inference.
🟩 Versatile Applications: Suitable for chat, summarization, translation, and more.
🟩 Competitive with Proprietary Models: Matches GPT-3.5 and Claude Instant in quality.
Limitations
🟥 No Hosted UI: Requires technical setup or third-party interface.
🟥 Limited Public Tools: No native playground or visual dashboard.
🟥 May Require Fine-Tuning: Out-of-the-box performance may vary per use case.
Use Cases
➤ Developers building custom AI apps.
➤ Researchers evaluating LLM behaviors.
➤ Businesses deploying on-premise chatbots.
➤ Engineers integrating generative features into tools.
Pricing Details
⭘ Free and Open Source: Available under permissive license for commercial and academic use.
⭘ No Cloud Hosting: Use with your infrastructure or third-party platforms.
Summary
Mistral AILarge 2 brings enterprise-grade generative AI to the open-source world. With its high performance, multilingual support, and open licensing, it's ideal for developers and researchers building LLM-powered apps with full transparency and control.
Released Dates
2025
May 7 – Mistral Medium 3 ( mistral-medium-latest ) model was released.
April 16 – Mistral AI released the Classifier Factory.
March 25 – Mistral Small 3.1 ( mistral-small-2503 ) model was released, with image understanding capabilities.
March 6 – Mistral OCR ( mistral-ocr-latest ) and document understanding API were released.
February 17 – Mistral Saba ( mistral-saba-2502 ) model was released.
February 6 – Mistral AI unveiled "le Chat," an AI assistant, with Pro, Team, and Enterprise tiers, and apps for iOS and Android.
January 30 – Mistral Small ( mistral-small-2501 ) model was released.
January 28 – Custom structured outputs for all Mistral models were released.
January 13 – Codestral ( codestral-2501 ) model was released.
2024
November 19 – Pixtral Large, an enhanced vision-language model, was introduced. Platform updates included Image Generation (via Black Forest Labs' Flux Pro), Web Search, and a Canvas System.
November 18 – Temperature parameters for pixtral-12b, ministral-3b-2410, and ministral-8b-2410 were adjusted.
November – Mistral Large 2 (123B parameter) model was released.
October 9 – Ministral 3B ( ministral-3b-2410 ) and Ministral 8B ( ministral-8b-2410 ) models were released.
September – Pixtral (12B parameter vision-language) model was released.
July 29 – Version 1.0 of Mistral AI's Python and JS SDKs, along with an Agents API, were released.
July 24 – Mistral Large 2 ( mistral-large-2407 ) model was released. Mistral NeMo ( open-mistral-nemo ) was also released.
July 16 – Codestral Mamba ( open-codestral-mamba ) and Mathstral (7B parameter) models were released.
June 5 – Mistral AI's fine-tuning API was released.
May 29 – Codestral 22B ( codestral-latest / codestral-2405 ), a code-focused model, was launched.
April 10 – Mixtral 8x22B model was released (initially via BitTorrent).
February 26 – Mistral Large and Mistral Small models were launched as API endpoints.
2023
December – Mixtral 8x7B, a mixture-of-experts model, was released.
September 27 – Mistral 7B, the first model from Mistral AI, was launched.
April 28 – Mistral AI was founded.
