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

Llama 4 Behemoth, with 288 billion active parameters, is Meta's flagship AI model, setting new standards for multimodal performance. Outpacing its predecessors like GPT-4.5 and Claude Sonnet 3.7, it leads the field in STEM benchmarks, offering cutting-edge results in tasks such as problem-solving and reasoning. Designed as the teacher model for the Llama 4 series, Behemoth drives significant improvements in model quality and efficiency through distillation. Although still in development, Llama 4 Behemoth is shaping the future of AI with its unparalleled intelligence, particularly in math, image, and multilingual tasks.

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Groq Yes 
1min.AI No 
AI-FLOW No 
APIPark No 
CSS Yes 
Codestral No 
Deep Infra No 
Echo AI No 
EvalsOne No 
Go Yes 
Kotlin Yes 
Melies No 
Mirascope No 
Mistral 7B No 
Mistral AI No 
Ragas No 
Respan No 
Ruby Yes 
SQL Yes 
TypeScript Yes 

Integrations

Groq Yes 
1min.AI Yes 
AI-FLOW Yes 
APIPark Yes 
CSS No 
Codestral Yes 
Deep Infra Yes 
Echo AI Yes 
EvalsOne Yes 
Go No 
Kotlin No 
Melies Yes 
Mirascope Yes 
Mistral 7B Yes 
Mistral AI Yes 
Ragas Yes 
Respan Yes 
Ruby No 
SQL No 
TypeScript No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

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 Yes 
Mac Yes 
Linux Yes 
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 No 

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

Meta

Founded

2004

Country

United States

Website

ai.meta.com

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

mistral.ai/news/mathstral/

Alternatives

Claude Sonnet 4 Reviews

Claude Sonnet 4

Anthropic

Alternatives

Solar Pro 2 Reviews

Solar Pro 2

Upstage AI
Mistral Large 2 Reviews

Mistral Large 2

Mistral AI
Claude Opus 3 Reviews

Claude Opus 3

Anthropic
Claude Opus 4.1 Reviews

Claude Opus 4.1

Anthropic
Mistral NeMo Reviews

Mistral NeMo

Mistral AI