Codestral vs. Kimi K3.1 Pro Comparison


Codestral Mistral AI	Kimi K3.1 Pro Moonshot AI	+	+
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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 Kimi K3.1 Pro is a multimodal large language model developed by Moonshot AI for advanced reasoning, software development, 3D modeling, financial analysis, and autonomous AI agent workflows. The model uses a mixture-of-experts architecture with approximately 2.8 trillion total parameters and 104 billion active parameters, supporting a context window of one million tokens. Its coding capabilities include debugging existing applications, generating complete software projects, developing interactive websites, and creating applications with game engines. Kimi K3.1 Pro can analyze images, interpret spatial relationships, generate CAD scripts, and create three-dimensional assets from text descriptions or visual references. Its reasoning and tool-use capabilities support financial modeling, investment research, document analysis, and multistep business workflows. The model is available through Kimi's web and mobile applications, Kimi Work, Kimi Code, and the Kimi API, with a Highspeed variant.
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 Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers interested in a large language model for coding	Audience Software developers, AI engineers, researchers, financial analysts, and teams building applications or agentic workflows with AI models.
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 View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Open source Free Version Supported Free Trial Not Supported	Pricing $2 per 1M tokens API usage is pay-as-you-go: $2 per million input tokens and $10 per million output tokens. Cached input is $0.20 per million tokens; cache writes are $2 per million tokens. Kimi Code also provides tier-based membership access, with quotas and context limits depending on the tier. 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 Read all reviews
	Pros & Cons from Real Users Pros I can give it a large coding job, a research project, or a multi-step agent workflow and it does a much better job staying organized all the way through. Coding is probably the biggest jump. Moonshot reports a 65.7% score on Terminal-Bench 4.0, ahead of GPT-6 Astra’s reported 58.2% and just behind Claude Opus 5.5 at 66.4%. It feels especially good for terminal work, repo-level changes, and tasks where the agent has to keep using tools for a while. The 1M-token context window is also genuinely useful. I can keep a huge amount of source code, documentation, financial material, screenshots, and prior work in context without constantly trimming things down. Cons The main downside is that the full weights are not available yet. Moonshot says they will be released soon, so the open-weight story is promising, but I would wait for that release before judging local deployment and customization.
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 Moonshot AI Founded: 2023 China www.kimi.ai/
Alternatives Codestral Mamba Mistral AI	Alternatives GPT-6.1 Terra OpenAI
DeepSeek-Coder-V2 DeepSeek	Gemini 4 Argon Google
DeepSeek-V2 DeepSeek	Claude Sonnet 5.5 Anthropic
Code Llama Meta	Kimi K2 Moonshot AI
CodeQwen Alibaba View All	Kimi K3 Moonshot AI View All
Categories AI Code Generators Supported AI Code Refactoring Supported AI Coding Assistants Supported AI Coding Models Supported AI Models Supported Foundation Models Supported Large Language Models Supported Open-Weight AI Models Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Foundation Models Supported Large Language Models Supported Open-Weight AI Models Supported

Integrations AiAssistWorks Supported Bash Supported C Supported C# Supported C++ Supported CSS Supported Go Supported HTML Supported Java Supported JavaScript Supported Kotlin Supported PHP Supported Python Supported R Supported Ruby Supported Rust Supported Scala Supported TypeScript Supported DataChain Supported Ragas Supported Show More Integrations View All 102 Integrations	Integrations AiAssistWorks Supported Bash Supported C Supported C# Supported C++ Supported CSS Supported Go Supported HTML Supported Java Supported JavaScript Supported Kotlin Supported PHP Supported Python Supported R Supported Ruby Supported Rust Supported Scala Supported TypeScript Supported DataChain Not Supported Ragas Not Supported Show More Integrations View All 84 Integrations
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