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Description

In honor of Archimedes, whose 2311th anniversary we celebrate this year, we are excited to introduce our inaugural Mathstral model, a specialized 7B architecture tailored for mathematical reasoning and scientific exploration. This model features a 32k context window and is released under the Apache 2.0 license. Our intention behind contributing Mathstral to the scientific community is to enhance the pursuit of solving advanced mathematical challenges that necessitate intricate, multi-step logical reasoning. The launch of Mathstral is part of our wider initiative to support academic endeavors, developed in conjunction with Project Numina. Much like Isaac Newton during his era, Mathstral builds upon the foundation laid by Mistral 7B, focusing on STEM disciplines. It demonstrates top-tier reasoning capabilities within its category, achieving remarkable results on various industry-standard benchmarks. Notably, it scores 56.6% on the MATH benchmark and 63.47% on the MMLU benchmark, showcasing the performance differences by subject between Mathstral 7B and its predecessor, Mistral 7B, further emphasizing the advancements made in mathematical modeling. This initiative aims to foster innovation and collaboration within the mathematical community.

Description

Mistral Large 4 serves as a versatile multimodal language model, accessible via Mistral’s hosted inference API. It integrates capabilities for instruction adherence, reasoning, and agent-like functions, allowing it to process both images and text simultaneously. This model is designed for developers to facilitate various tasks such as chat completions, structured data outputs, executing functions, answering questions from documents, and enhancing tool-assisted workflows. Its range of applications spans conversational AI, software development assistance, cybersecurity evaluations, financial and legal processes, scientific inquiry, data extraction, and the interpretation of various document types, including charts and images. Aimed at developers, researchers, and organizations within the public sector, Mistral Large 4 is tailored for creating AI-driven applications across numerous fields, including engineering, manufacturing, finance, logistics, and scientific research. Furthermore, its adaptability makes it suitable for both small startups and large enterprises looking to leverage AI technologies effectively.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Mistral AI Yes 
BlueGPT Yes 
Deep Infra Yes 
EvalsOne Yes 
HoneyHive Yes 
Humiris AI Yes 
LibreChat Yes 
Mammouth AI Yes 
Mirascope Yes 
Motific.ai Yes 
Msty Yes 
Noma Yes 
OpenPipe Yes 
Overseer AI Yes 
PromptPal Yes 
Ragas Yes 
Respan Yes 
Simplismart Yes 
Superinterface Yes 
promptmate.io Yes 

Integrations

Mistral AI Yes 
BlueGPT No 
Deep Infra No 
EvalsOne No 
HoneyHive No 
Humiris AI No 
LibreChat No 
Mammouth AI No 
Mirascope No 
Motific.ai No 
Msty No 
Noma No 
OpenPipe No 
Overseer AI No 
PromptPal No 
Ragas No 
Respan No 
Simplismart No 
Superinterface No 
promptmate.io No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

$1.36 per 1M input tokens
Input: $1.36 per 1 million tokens
Output: $4.18 per 1 million tokens
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 No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

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

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

mistral.ai/news/mathstral/

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

docs.mistral.ai/models/mistral-large-4-0

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