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Average Ratings 0 Ratings
Description
Mistral Medium 3.1 represents a significant advancement in multimodal foundation models, launched in August 2025, and is engineered to provide superior reasoning, coding, and multimodal functionalities while significantly simplifying deployment processes and minimizing costs. This model is an evolution of the highly efficient Mistral Medium 3 architecture, which is celebrated for delivering top-tier performance at a fraction of the cost—up to eight times less than many leading large models—while also improving tone consistency, responsiveness, and precision across a variety of tasks and modalities. It is designed to operate effectively in hybrid environments, including on-premises and virtual private cloud systems, and competes strongly with high-end models like Claude Sonnet 3.7, Llama 4 Maverick, and Cohere Command A. Mistral Medium 3.1 is particularly well-suited for professional and enterprise applications, excelling in areas such as coding, STEM reasoning, and language comprehension across multiple formats. Furthermore, it ensures extensive compatibility with personalized workflows and existing infrastructure, making it a versatile choice for various organizational needs. As businesses seek to leverage AI in more complex scenarios, Mistral Medium 3.1 stands out as a robust solution to meet those challenges.
Description
The Mixtral 8x22B represents our newest open model, establishing a new benchmark for both performance and efficiency in the AI sector. This sparse Mixture-of-Experts (SMoE) model activates only 39B parameters from a total of 141B, ensuring exceptional cost efficiency relative to its scale. Additionally, it demonstrates fluency in multiple languages, including English, French, Italian, German, and Spanish, while also possessing robust skills in mathematics and coding. With its native function calling capability, combined with the constrained output mode utilized on la Plateforme, it facilitates the development of applications and the modernization of technology stacks on a large scale. The model's context window can handle up to 64K tokens, enabling accurate information retrieval from extensive documents. We prioritize creating models that maximize cost efficiency for their sizes, thereby offering superior performance-to-cost ratios compared to others in the community. The Mixtral 8x22B serves as a seamless extension of our open model lineage, and its sparse activation patterns contribute to its speed, making it quicker than any comparable dense 70B model on the market. Furthermore, its innovative design positions it as a leading choice for developers seeking high-performance solutions.
API Access
Has API
API Access
Has API
Integrations
APIPark
AiAssistWorks
AnythingLLM
CSS
Continue
Fleak
Go
JavaScript
Lewis
Lunary
Integrations
APIPark
AiAssistWorks
AnythingLLM
CSS
Continue
Fleak
Go
JavaScript
Lewis
Lunary
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Mistral AI
Founded
2023
Country
France
Website
docs.mistral.ai/getting-started/models/models_overview/
Vendor Details
Company Name
Mistral AI
Founded
2023
Country
France
Website
mistral.ai/news/mixtral-8x22b/