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Kimi

Moonshot AI's long-context assistant for deep document analysis

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About Kimi

Kimi is Moonshot AI's flagship product, an AI assistant distinguished by its extraordinary long-context capabilities. With support for up to 2 million characters in a single conversation, Kimi can analyze entire novels, codebases, or research libraries.

The Long-Context Advantage

While most AI assistants max out at thousands of tokens, Kimi handles:

  • Entire books: Upload a 500-page PDF and discuss any chapter
  • Code repositories: Analyze complete project structures
  • Legal documents: Review contracts with full context
  • Research papers: Compare dozens of papers simultaneously
  • Meeting archives: Query years of meeting transcripts

Core Capabilities

Document Understanding:

  • PDF, Word, Excel, PPT, TXT, and image uploads
  • Automatic summarization and key point extraction
  • Cross-document analysis and comparison
  • Citation extraction and verification

Web Search: Real-time information retrieval with source attribution
Code Analysis: Understanding and debugging across large codebases
Creative Writing: Long-form content with consistent plot and characters
Data Processing: Analyzing spreadsheets and generating insights

Specialized Modes

Agent Mode: Autonomous task execution with tool use
Research Mode: Deep investigation with structured output
Creative Mode: Storytelling and content generation
Coding Mode: Software development assistance

Platform Access

  • Web: kimi.moonshot.cn (primary interface)
  • Mobile: iOS and Android apps
  • API: Developer access for integration
  • Desktop: Windows and Mac applications

Language Support

Primary optimization for Chinese and English, with strong performance in both. Particularly popular among Chinese-speaking professionals and students.

Pricing

  • Free: Generous daily usage limits, standard features
  • Premium: Higher rate limits, priority access, advanced features
  • Enterprise: Custom deployment, dedicated support, SLA guarantees

Best for: Researchers, lawyers, developers, and anyone working with large documents who needs AI analysis without context fragmentation.

Tags

#long context#chinese#document analysis#moonshot#2m tokens

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