Master Kimi (Moonshot AI) with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Kimi (Moonshot AI) powerful for ai chat workflows.
The latest K2.5 model integrates a 400-million-parameter vision encoder (MoonViT) for native image and video understanding. It can interpret visual content, replicate website user journeys from video input, and handle combined text-image reasoning tasks without external preprocessing.
Upload a product mockup image and ask Kimi to generate the HTML/CSS to replicate it, or provide a video walkthrough of a competitor's app and get a detailed feature analysis with screenshots annotated.
Process up to 200,000 Chinese characters (or equivalent tokens in other languages) in a single conversation. This extended context allows analysis of entire books, multi-document research corpora, and day-long strategic planning sessions without losing earlier context.
Paste an entire 80-page legal contract and ask Kimi to identify all liability clauses, compare them against standard terms, and flag unusual provisions — all in one interaction without chunking the document.
Coordinate multiple AI agents working on different aspects of a complex task simultaneously. Each agent in the swarm can handle a subtask independently while sharing context and results with the group, enabling parallel problem-solving at scale.
Launch a market research swarm where one agent analyzes competitor pricing, another reviews customer sentiment on social media, a third summarizes industry reports, and a coordinator agent synthesizes all findings into a strategic brief.
Dedicated research capability that goes beyond single-query answers. Deep Research iterates through multiple search and analysis cycles to produce comprehensive, well-sourced research reports on complex topics.
Request a deep research report on the competitive landscape of AI coding assistants in Southeast Asia, and receive a structured analysis with market sizing, key players, funding data, and strategic recommendations.
Built-in tools for creating websites, documents, slide presentations, and spreadsheets directly within the Kimi interface. These are not just templates — the AI generates functional outputs based on natural language instructions.
Describe your startup's value proposition and target audience, then have Kimi generate a complete landing page, an investor pitch deck, and a financial projections spreadsheet in a single session.
Deep understanding of Chinese language nuances including idiomatic expressions, classical references, regional business terminology, and regulatory language. Outperforms translation-layer approaches used by Western AI models for Chinese content.
Draft a formal business proposal in Chinese that follows local conventions for government procurement, including appropriate honorifics, regulatory references, and formatting standards that would be missed by translation-based approaches.
Kimi K2.5, released in January 2026, adds native multimodal capabilities through the MoonViT vision encoder (400M parameters). While K2 focused on text generation, K2.5 can process images and video input, enabling visual coding tasks and agentic workflows that interpret visual content. K2 remains available for text-only use cases.
Yes, Kimi supports multiple languages including English, though its strongest performance is in Chinese. The model handles multilingual translation and cross-language tasks well, but users who work primarily in English may find dedicated English-first models like ChatGPT or Claude more optimized for their needs.
Kimi's 200,000 Chinese character context window is among the largest in production AI systems. For comparison, this is roughly equivalent to processing an entire novel or a multi-hundred-page legal document in a single conversation without losing context from earlier sections.
Yes, Kimi offers a free tier for the consumer chatbot at kimi.com with daily usage limits. The API platform uses pay-per-token pricing, and new API users typically receive trial credits. Enterprise customers can negotiate custom pricing and rate limits through the sales team.
Agent Swarm is a beta feature that lets you coordinate multiple AI agents working on different subtasks simultaneously. Instead of handling a complex request sequentially, the swarm distributes work across agents that operate in parallel, share context, and synthesize results — useful for research, analysis, and multi-step workflows.
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Tutorial updated March 2026