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

Magistral is the inaugural language model family from Mistral AI that emphasizes reasoning, offered in two variants: Magistral Small, a 24 billion parameter open-weight model accessible under Apache 2.0 via Hugging Face, and Magistral Medium, a more robust enterprise-grade version that can be accessed through Mistral's API, the Le Chat platform, and various major cloud marketplaces. Designed for specific domains, it excels in transparent, multilingual reasoning across diverse tasks such as mathematics, physics, structured calculations, programmatic logic, decision trees, and rule-based systems, generating outputs that follow a chain of thought in the user's preferred language, which can be easily tracked and validated. This release signifies a transition towards more compact yet highly effective transparent AI reasoning capabilities. Currently, Magistral Medium is in preview on platforms including Le Chat, the API, SageMaker, WatsonX, Azure AI, and Google Cloud Marketplace. Its design is particularly suited for general-purpose applications that necessitate extended thought processes and improved accuracy compared to traditional non-reasoning language models. The introduction of Magistral represents a significant advancement in the pursuit of sophisticated reasoning in AI applications.

Description

Introducing Mistral NeMo, our latest and most advanced small model yet, featuring a cutting-edge 12 billion parameters and an expansive context length of 128,000 tokens, all released under the Apache 2.0 license. Developed in partnership with NVIDIA, Mistral NeMo excels in reasoning, world knowledge, and coding proficiency within its category. Its architecture adheres to industry standards, making it user-friendly and a seamless alternative for systems currently utilizing Mistral 7B. To facilitate widespread adoption among researchers and businesses, we have made available both pre-trained base and instruction-tuned checkpoints under the same Apache license. Notably, Mistral NeMo incorporates quantization awareness, allowing for FP8 inference without compromising performance. The model is also tailored for diverse global applications, adept in function calling and boasting a substantial context window. When compared to Mistral 7B, Mistral NeMo significantly outperforms in understanding and executing detailed instructions, showcasing enhanced reasoning skills and the ability to manage complex multi-turn conversations. Moreover, its design positions it as a strong contender for multi-lingual tasks, ensuring versatility across various use cases.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

302.AI No 
Arize Phoenix No 
C# No 
C++ No 
Diaflow No 
Google Cloud Marketplace Yes 
HTML No 
HoneyHive No 
IBM watsonx Yes 
LM-Kit.NET No 
Lewis No 
Mirascope No 
NexalAI No 
OpenLIT No 
R No 
ReByte No 
Respan No 
SydeLabs No 
Weave No 

Integrations

302.AI Yes 
Arize Phoenix Yes 
C# Yes 
C++ Yes 
Diaflow Yes 
Google Cloud Marketplace No 
HTML Yes 
HoneyHive Yes 
IBM watsonx No 
LM-Kit.NET Yes 
Lewis Yes 
Mirascope Yes 
NexalAI Yes 
OpenLIT Yes 
R Yes 
ReByte Yes 
Respan Yes 
SydeLabs Yes 
Weave 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 No 
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 Yes 
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 Yes 

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

mistral.ai/news/magistral

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

mistral.ai/news/mistral-nemo/

Product Features

Alternatives

Mistral Large 2 Reviews

Mistral Large 2

Mistral AI

Alternatives

Mistral Small Reviews

Mistral Small

Mistral AI
Mistral Small 4 Reviews

Mistral Small 4

Mistral AI
Jamba Reviews

Jamba

AI21 Labs
Mistral Large 3 Reviews

Mistral Large 3

Mistral AI
Mistral 7B Reviews

Mistral 7B

Mistral AI
Ministral 3 Reviews

Ministral 3

Mistral AI
Olmo 2 Reviews

Olmo 2

Ai2