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Kimi K3
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Coding (236)

Kimi K3 Verified Tool

Kimi K3 is a 2.8T-parameter AI model from Moonshot AI built for advanced reasoning, long-horizon coding, knowledge work, and agentic workflows. It supports native vision and a 1M-token context window for handling large codebases, documents, and complex tasks.

Last Update: 2026-08-10

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Starting price Free + Paid plans from $19/month

Tool Information

Kimi K3 is a flagship AI model from Moonshot AI designed for long-horizon coding, advanced reasoning, knowledge work, and agentic workflows. With 2.8 trillion parameters, native vision capabilities, and a context window of up to 1,048,576 tokens, Kimi K3 can handle large codebases, long documents, multimodal inputs, and complex multi-step tasks. It is available through Kimi and the Kimi API, with coding-focused access available through Kimi Code, making it suitable for developers, researchers, businesses, and advanced AI users.

F.A.Q (5)

Kimi K3 is an open-source large language model developed by Moonshot AI for advanced reasoning, coding, multilingual conversations, document analysis, and AI-powered content generation.

Developers, researchers, businesses, educators, students, and AI enthusiasts can benefit from its coding abilities, reasoning performance, multilingual support, and flexible deployment options.

Yes. It can generate, explain, optimize, refactor, and debug code in many programming languages including Python, JavaScript, Java, C++, Go, Rust, and others.

Kimi K3 is open source. Self-hosting is free, while managed API services may charge depending on the provider.

Kimi K3 combines strong reasoning, long-context processing, multilingual capabilities, and open-source flexibility for developers and enterprises.

Pros and Cons

Pros

  • Excellent reasoning performance
  • Powerful coding assistance
  • Long-context understanding
  • Open-source and customizable
  • Multilingual support
  • Suitable for enterprise deployment
  • Strong document analysis

Cons

  • Large models require powerful hardware
  • Self-hosting requires technical expertise
  • Performance depends on deployment infrastructure
  • Smaller ecosystem than some competitors

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