Mathstral

Mathstral

Mistral AI
Mistral Large 4

Mistral Large 4

Mistral AI
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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.

About

Mistral Large 4 is a general-purpose multimodal language model available through Mistral’s hosted inference API. It combines instruction following, reasoning and agentic capabilities, and accepts image and text inputs. Developers can use it for chat completion, structured outputs, function calling, document question answering, tool-assisted workflows and other application features. Its documented use cases include conversational assistants, coding and software engineering agents, cybersecurity analysis, finance and legal workflows, scientific research, data extraction, summarization, and analysis of documents, charts and images. Mistral Large 4 is designed for developers, researchers, businesses and public-sector teams building AI-powered applications across industries such as engineering, manufacturing, finance, logistics and science.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

Developers, researchers, businesses, and public-sector teams building AI applications and workflows, including work in engineering, manufacturing, finance, cybersecurity, and science.

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

$1.36 per 1M input tokens
Input: $1.36 per 1 million tokens
Output: $4.18 per 1 million tokens
Free Version Supported
Free Trial Not Supported

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 4.0 / 5
ease 4.0 / 5

Pros & Cons from Real Users

Pros

  • Mistral Large 4 is a big improvement over previous Mistral models. I am impressed with its coding, reasoning, and ability to handle longer, more complicated tasks without losing track of the instructions. The multimodal capabilities are also quite good, especially when working with documents, charts, and images.

Cons

  • The model is powerful, but it isn't as consistently reliable as the very best closed models on difficult reasoning tasks. I occasionally had to correct or re-prompt it when an answer sounded confident but missed an important detail. It's also an enormous model, so running the open weights yourself will require substantial hardware.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

Mistral AI
Founded: 2023
France
docs.mistral.ai/models/mistral-large-4-0

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Categories

AI Models Supported
Foundation Models Supported

Categories

AI Coding Models Supported
AI Models Supported
Foundation Models Supported
Multimodal Models Supported

Integrations

Mistral AI Supported
1min.AI Supported
Amazon Bedrock Supported
Fleak Supported
Hugging Face Supported
HumanLayer Supported
Humiris AI Supported
LibreChat Supported
Literal AI Supported
Lunary Supported
Memo AI Supported
Mistral Large Supported
Mistral Vibe Not Supported
Msty Supported
Nutanix Enterprise AI Supported
OpenPipe Supported
Overseer AI Supported
PostgresML Supported
Respan Supported
Toolmark Supported

Integrations

Mistral AI Supported
1min.AI Not Supported
Amazon Bedrock Not Supported
Fleak Not Supported
Hugging Face Not Supported
HumanLayer Not Supported
Humiris AI Not Supported
LibreChat Not Supported
Literal AI Not Supported
Lunary Not Supported
Memo AI Not Supported
Mistral Large Not Supported
Mistral Vibe Supported
Msty Not Supported
Nutanix Enterprise AI Not Supported
OpenPipe Not Supported
Overseer AI Not Supported
PostgresML Not Supported
Respan Not Supported
Toolmark Not Supported
Claim Mathstral and update features and information
Claim Mathstral and update features and information
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Claim Mistral Large 4 and update features and information