Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Arize Phoenix No 
C# No 
CSS No 
Continue No 
Diaflow No 
Echo AI No 
Humiris AI No 
JavaScript No 
LM-Kit.NET No 
Lunary No 
MindMac No 
Mirascope No 
PostgresML No 
Prompt Security No 
Ragas No 
Respan No 
Tune AI No 
TypeScript No 
Visual Basic No 
WebLLM No 

Integrations

Arize Phoenix Yes 
C# Yes 
CSS Yes 
Continue Yes 
Diaflow Yes 
Echo AI Yes 
Humiris AI Yes 
JavaScript Yes 
LM-Kit.NET Yes 
Lunary Yes 
MindMac Yes 
Mirascope Yes 
PostgresML Yes 
Prompt Security Yes 
Ragas Yes 
Respan Yes 
Tune AI Yes 
TypeScript Yes 
Visual Basic Yes 
WebLLM Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

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/

Product Features

Alternatives

Grok 4 Fast Reviews

Grok 4 Fast

SpaceXSI

Alternatives

Gemma 4 Reviews

Gemma 4

Google
Mistral Medium 3 Reviews

Mistral Medium 3

Mistral AI
Mixtral 8x7B Reviews

Mixtral 8x7B

Mistral AI
Mistral Small 4 Reviews

Mistral Small 4

Mistral AI
gpt-oss-20b Reviews

gpt-oss-20b

OpenAI