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ease
features
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support

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Description

Devstral Small 2 serves as the streamlined, 24 billion-parameter version of Mistral AI's innovative coding-centric model lineup, released under the flexible Apache 2.0 license to facilitate both local implementations and API interactions. In conjunction with its larger counterpart, Devstral 2, this model introduces "agentic coding" features suitable for environments with limited computational power, boasting a generous 256K-token context window that allows it to comprehend and modify entire codebases effectively. Achieving a score of approximately 68.0% on the standard code-generation evaluation known as SWE-Bench Verified, Devstral Small 2 stands out among open-weight models that are significantly larger. Its compact size and efficient architecture enable it to operate on a single GPU or even in CPU-only configurations, making it an ideal choice for developers, small teams, or enthusiasts lacking access to expansive data-center resources. Furthermore, despite its smaller size, Devstral Small 2 successfully maintains essential functionalities of its larger variants, such as the ability to reason through multiple files and manage dependencies effectively, ensuring that users can still benefit from robust coding assistance. This blend of efficiency and performance makes it a valuable tool in the coding community.

Description

MAI-Thinking-1 represents Microsoft AI's advanced reasoning model, specifically engineered to tackle intricate and significant challenges, exhibiting superior reasoning capabilities alongside robust software engineering performance within its category. This model features a configuration of 35 billion active parameters and roughly 1 trillion total parameters as a sparse Mixture of Experts, allowing it to maintain a more streamlined inference footprint compared to much larger alternatives while still achieving performance comparable to leading models on essential software engineering benchmarks. Microsoft developed MAI-Thinking-1 from the ground up, utilizing high-quality, enterprise-grade, commercially licensed data, ensuring that its abilities are acquired rather than derived from third-party models. Integral to Microsoft AI’s innovative Hill-Climbing Machine, this model benefits from a collaborative development process designed for ongoing and reliable enhancements throughout all stages of model creation. MAI-Thinking-1 is particularly suited for agentic coding environments, as it is capable of reading code, modifying files, executing tests, detecting errors, and recovering from mistakes made along the way. This ability to adapt and learn in real-time makes it a valuable asset for developers seeking efficiency and reliability in their projects.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude Sonnet 4.6
Cline
Devstral 2
GitHub Copilot
Kilo Code
Microsoft Azure
Microsoft Foundry
Mistral AI
Nebius Token Factory
Visual Studio Code

Integrations

Claude Sonnet 4.6
Cline
Devstral 2
GitHub Copilot
Kilo Code
Microsoft Azure
Microsoft Foundry
Mistral AI
Nebius Token Factory
Visual Studio Code

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

mistral.ai/news/devstral-2-vibe-cli

Vendor Details

Company Name

Microsoft AI

Founded

2024

Country

United States

Website

microsoft.ai/news/introducing-mai-thinking-1/

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