K2 Think

K2 Think

Institute of Foundation Models
Mathstral

Mathstral

Mistral AI
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About

K2 Think is an open source advanced reasoning model developed collaboratively by the Institute of Foundation Models at MBZUAI and G42. Despite only having 32 billion parameters, it delivers performance comparable to flagship models with many more parameters. It excels in mathematical reasoning, achieving top scores on competitive benchmarks such as AIME ’24/’25, HMMT ’25, and OMNI-Math-HARD. K2 Think is part of a suite of UAE-developed open models, alongside Jais (Arabic), NANDA (Hindi), and SHERKALA (Kazakh), and builds on the foundation laid by K2-65B, the fully reproducible open source foundation model released in 2024. The model is designed to be open, fast, and flexible, offering a web app interface for exploration, and with its efficiency in parameter positioning, it is a breakthrough in compact architectures for advanced AI reasoning.

About

As a tribute to Archimedes, whose 2311th anniversary we’re celebrating this year, we are proud to release our first Mathstral model, a specific 7B model designed for math reasoning and scientific discovery. The model has a 32k context window published under the Apache 2.0 license. We’re contributing Mathstral to the science community to bolster efforts in advanced mathematical problems requiring complex, multi-step logical reasoning. The Mathstral release is part of our broader effort to support academic projects, it was produced in the context of our collaboration with Project Numina. Akin to Isaac Newton in his time, Mathstral stands on the shoulders of Mistral 7B and specializes in STEM subjects. It achieves state-of-the-art reasoning capacities in its size category across various industry-standard benchmarks. In particular, it achieves 56.6% on MATH and 63.47% on MMLU, with the following MMLU performance difference by subject between Mathstral 7B and Mistral 7B.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Researchers, developers, or institutions wanting a tool providing a model for mathematical or logical tasks, especially where resources are limited but performance is required

Audience

Individuals focused on mathematical research looking for an AI tool to enhance their problem-solving capabilities

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Open source
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Institute of Foundation Models
United States
www.k2think.ai/k2think

Company Information

Mistral AI
Founded: 2023
France
mistral.ai/news/mathstral/

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Categories

Categories

Integrations

APIPark
AiAssistWorks
Amazon Bedrock
Diaflow
Expanse
Fleak
HoneyHive
Humiris AI
Microsoft Foundry Agent Service
Mistral 7B
Mistral Small
Msty
OpenLIT
OpenPipe
Pixtral Large
PromptPal
Ragas
Superinterface
Symflower
bolt.diy

Integrations

APIPark
AiAssistWorks
Amazon Bedrock
Diaflow
Expanse
Fleak
HoneyHive
Humiris AI
Microsoft Foundry Agent Service
Mistral 7B
Mistral Small
Msty
OpenLIT
OpenPipe
Pixtral Large
PromptPal
Ragas
Superinterface
Symflower
bolt.diy
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