Codestral

Codestral

Mistral AI
Qwen3.8-Max

Qwen3.8-Max

Alibaba
+
+

Related Products

  • Google AI Studio
    41 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • Retool
    598 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Google Cloud Run
    349 Ratings
    Visit Website
  • Source Defense
    7 Ratings
    Visit Website
  • Apify
    1,800 Ratings
    Visit Website
  • Docmosis
    51 Ratings
    Visit Website
  • Feroot
    33 Ratings
    Visit Website

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

Qwen3.8-Max is Qwen’s most capable model to date, built as a Max-class AI model for coding, work, research, long-horizon tasks, and multimodal agents. It scales to 2.4 trillion parameters with 95 billion active parameters and is available through QwenCloud. The model is designed to complete complex, open-ended tasks end to end with greater reliability and minimal human involvement. Qwen3.8-Max supports autonomous coding workflows, agentic development, research reproduction, visual reasoning, document understanding, video analysis, and real-world productivity tasks. It can integrate with popular agent frameworks and coding assistants, including Claude Code, Codex, Qoder CLI, Qwen Code, and OpenClaw. Built for developers, researchers, enterprises, and AI agent builders, Qwen3.8-Max helps teams automate sophisticated work across code, documents, tools, interfaces, and multimodal content.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers interested in a large language model for coding

Audience

Developers and AI teams that need scalable access to text, image, video, audio, and multimodal AI models for building applications

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

$2 per 1M (input)
$2 per 1 million tokens (input), $6 per 1 million tokens (output)
Free Version Not Supported
Free Trial Not Supported

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
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • Qwen3.8-Max is really interesting from a developer’s perspective. A 2.4T-parameter model that can handle text, images, video, and documents has a lot of potential for coding agents, repo analysis, multimodal debugging, and workflows where the model needs to understand more than just plain text.

Cons

  • The biggest downside is that a lot of the hype still needs proof. Alibaba is claiming Qwen3.8-Max trails only Fable 5, but current reports say there are no public benchmark scores, no model card, no activated-parameter count, and no independent leaderboard results yet.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Mistral AI
Founded: 2023
France
mistral.ai/

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Alternatives

Codestral Mamba

Codestral Mamba

Mistral AI

Alternatives

DeepSeek-V2

DeepSeek-V2

DeepSeek
CodeQwen

CodeQwen

Alibaba
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

Python Supported
Airtrain Supported
AnythingLLM Supported
ClinePass Not Supported
Continue Supported
Elixir Supported
EvalsOne Supported
Expanse Supported
Happy Shrimp 1.0 Not Supported
Humiris AI Supported
Julia Supported
Langflow Supported
LibreChat Supported
NexalAI Supported
Nutanix Enterprise AI Supported
Overseer AI Supported
Qwen Code Not Supported
SydeLabs Supported
Verta Supported
Weave Supported

Integrations

Python Supported
Airtrain Not Supported
AnythingLLM Not Supported
ClinePass Supported
Continue Not Supported
Elixir Not Supported
EvalsOne Not Supported
Expanse Not Supported
Happy Shrimp 1.0 Supported
Humiris AI Not Supported
Julia Not Supported
Langflow Not Supported
LibreChat Not Supported
NexalAI Not Supported
Nutanix Enterprise AI Not Supported
Overseer AI Not Supported
Qwen Code Supported
SydeLabs Not Supported
Verta Not Supported
Weave Not Supported
Claim Codestral and update features and information
Claim Codestral and update features and information
Claim Qwen3.8-Max and update features and information
Claim Qwen3.8-Max and update features and information