LLM Reference

Mathstral Models by MistralAI

MistralAIApache 2.0Open sourceMathematics
1 model2024Up to 32k ctx

Last refreshed 2026-05-19. Next refresh: weekly.

Details

ResearcherMistralAI
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models1
Released2024
Max context32k

About

Mathstral is a family of large language models (LLMs) created by Mistral AI, focusing on mathematical reasoning and scientific exploration. Built on the Mistral 7B architecture, they inherit its efficient design and are fine-tuned specifically for STEM (Science, Technology, Engineering, and Mathematics) fields 124. These models are adept at handling complex, multi-step logical reasoning tasks and are available under the Apache 2.0 license, facilitating open-source collaboration 148. A prominent characteristic is their enhanced performance with increased inference-time computation, offering scalability for various applications 1. They provide leading reasoning abilities for their size category, as evidenced by industry-standard benchmarks 18. Notably, the Mathstral 7B v0.1 model supports a 32k context window, allowing it to tackle more extensive and intricate mathematical challenges 1. Model weights are accessible via Hugging Face, facilitating research and development efforts 1.

Decision facts

Best fit
mathematicsmath-heavy prompts
Capability starting point
Mathstral 7B with 32k context
Lowest tracked input
Not tracked
Closest related family
Ministral

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

1 in view

Use when the workload needs 32k context and 7B parameters.

2024-0732k context7B parameters

Release Timeline

1 release group
2024-07
1 current
Mathstral 7B
32k context7B parameters
Current

Specifications(1 models)

Mathstral model specifications comparison
ModelReleasedContextParameters
Mathstral 7B2024-0732k7B