Codestral

Codestral

Mistral AI
Java

Java

Oracle
Llama

Llama

Meta
+

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About

We introduce Codestral, our first-ever code model. Codestral is an open-weight generative AI model explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and English, it can be used to design advanced AI applications for software developers. Codestral is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash. It also performs well on more specific ones like Swift and Fortran. This broad language base ensures Codestral can assist developers in various coding environments and projects.

About

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

About

Llama (Large Language Model Meta AI) is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI. Smaller, more performant models such as Llama enable others in the research community who don’t have access to large amounts of infrastructure to study these models, further democratizing access in this important, fast-changing field. Training smaller foundation models like Llama is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others’ work, and explore new use cases. Foundation models train on a large set of unlabeled data, which makes them ideal for fine-tuning for a variety of tasks. We are making Llama available at several sizes (7B, 13B, 33B, and 65B parameters) and also sharing a Llama model card that details how we built the model in keeping with our approach to Responsible AI practices.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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 interested in a large language model for coding

Audience

Developers looking for a Programming Language solution

Audience

AI developers interested in a powerful large language model

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

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

Training

Documentation
Webinars
Live Online
In Person

Company Information

Mistral AI
Founded: 2023
France
mistral.ai/

Company Information

Oracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html

Company Information

Meta
Founded: 2004
United States
www.llama.com

Alternatives

Codestral Mamba

Codestral Mamba

Mistral AI

Alternatives

Alternatives

Alpaca

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
DeepSeek-V2

DeepSeek-V2

DeepSeek
BitNet

BitNet

Microsoft
ChatGPT

ChatGPT

OpenAI
Llama 2

Llama 2

Meta

Categories

Categories

Categories

Integrations

PostgresML
Augment Code
C
CTRLpotato
Claude Opus 4.5
CodeAlly
CodeTasty
Crystal Ball Markets
Documati
Editor.do
Exegy Axiom
GPT-5.1 Instant
JDeli
Lighthouse ERP
Lime2
Lingma
Mimrr
Oorian
Percy
gopaddle

Integrations

PostgresML
Augment Code
C
CTRLpotato
Claude Opus 4.5
CodeAlly
CodeTasty
Crystal Ball Markets
Documati
Editor.do
Exegy Axiom
GPT-5.1 Instant
JDeli
Lighthouse ERP
Lime2
Lingma
Mimrr
Oorian
Percy
gopaddle

Integrations

PostgresML
Augment Code
C
CTRLpotato
Claude Opus 4.5
CodeAlly
CodeTasty
Crystal Ball Markets
Documati
Editor.do
Exegy Axiom
GPT-5.1 Instant
JDeli
Lighthouse ERP
Lime2
Lingma
Mimrr
Oorian
Percy
gopaddle
Claim Codestral and update features and information
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