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What is LTM-1?

Magic’s innovative LTM-1 technology enables context windows that are 50 times greater than the standard ones found in traditional transformer models. Consequently, Magic has created a Large Language Model (LLM) capable of efficiently handling extensive contextual information for generating recommendations. This breakthrough empowers our coding assistant to thoroughly examine and utilize your entire code repository. By drawing on a wealth of factual knowledge and its own previous interactions, larger context windows greatly improve the accuracy and cohesiveness of AI-generated responses. We are enthusiastic about the possibilities this research presents for enhancing user experiences in coding assistance tools, paving the way for smarter, more intuitive interactions. Ultimately, we believe these advancements will significantly transform how developers engage with their coding environments.

What is Devstral 2?

Devstral 2 is an innovative, open-source AI model tailored for software engineering, transcending simple code suggestions to fully understand and manipulate entire codebases; this advanced functionality enables it to execute tasks such as multi-file edits, bug fixes, refactoring, managing dependencies, and generating code that is aware of its context. The suite includes a powerful 123-billion-parameter model alongside a streamlined 24-billion-parameter variant called “Devstral Small 2,” offering flexibility for teams; the larger model excels in handling intricate coding tasks that necessitate a deep contextual understanding, whereas the smaller model is optimized for use on less robust hardware. With a remarkable context window capable of processing up to 256 K tokens, Devstral 2 is adept at analyzing extensive repositories, tracking project histories, and maintaining a comprehensive understanding of large files, which is especially advantageous for addressing the challenges of real-world software projects. Additionally, the command-line interface (CLI) further enhances the model’s functionality by monitoring project metadata, Git statuses, and directory structures, thereby enriching the AI’s context and making “vibe-coding” even more impactful. This powerful blend of features solidifies Devstral 2's role as a revolutionary tool within the software development ecosystem, offering unprecedented support for engineers. As the landscape of software engineering continues to evolve, tools like Devstral 2 promise to redefine the way developers approach coding tasks.

Media

Media

Integrations Supported

Quickwork

Integrations Supported

Cline
Devstral Small 2
Kilo Code
Mistral AI
Mistral Vibe

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Magic AI

Date Founded

2022

Company Location

United States

Company Website

magic.dev/blog/ltm-1

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

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

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

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