Mathstral

Mathstral

Mistral AI
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About

GLM-4.7 Flash is a lightweight variant of GLM-4.7, Z.ai’s flagship large language model designed for advanced coding, reasoning, and multi-step task execution with strong agentic performance and a very large context window. It is an MoE-based model optimized for efficient inference that balances performance and resource use, enabling deployment on local machines with moderate memory requirements while maintaining deep reasoning, coding, and agentic task abilities. GLM-4.7 itself advances over earlier generations with enhanced programming capabilities, stable multi-step reasoning, context preservation across turns, and improved tool-calling workflows, and supports very long context lengths (up to ~200 K tokens) for complex tasks that span large inputs or outputs. The Flash variant retains many of these strengths in a smaller footprint, offering competitive benchmark performance in coding and reasoning tasks for models in its size class.

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

Developers, AI engineers, and researchers seeking a large language model that can be deployed locally or via API with strong coding, reasoning, and tool-use capabilities

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
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

Z.ai
Founded: 2019
China
docs.z.ai/guides/llm/glm-4.7#glm-4-7-flash

Company Information

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

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Categories

Categories

Integrations

Amazon Bedrock
AnythingLLM
Codestral
Diaflow
Echo AI
Humiris AI
Keywords AI
Langflow
Le Chat
Ministral 3B
Ministral 8B
Mistral NeMo
Mixtral 8x22B
OpenPipe
Ragas
SydeLabs
Tune AI
Weave
WebLLM
Yaseen AI

Integrations

Amazon Bedrock
AnythingLLM
Codestral
Diaflow
Echo AI
Humiris AI
Keywords AI
Langflow
Le Chat
Ministral 3B
Ministral 8B
Mistral NeMo
Mixtral 8x22B
OpenPipe
Ragas
SydeLabs
Tune AI
Weave
WebLLM
Yaseen AI
Claim GLM-4.7-Flash and update features and information
Claim GLM-4.7-Flash and update features and information
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Claim Mathstral and update features and information