Kimi AI is a large language model chatbot from Moonshot AI, built around long-context reasoning, coding, and agentic workflows. It handles up to 1 million tokens of context, letting you process entire codebases, lengthy PDFs, research papers, and full conversations in one session. Free web chat, file uploads, and search are available at no cost, while paid tiers unlock advanced agent features like Kimi Code, Deep Research, Slides, and Websites generation. Popular with developers and researchers who need cheap, high-capacity AI.

• 1M-Token Context Window: Process full codebases, long PDFs, contracts, and books in a single session without losing track of details buried deep in the input.
• Kimi K3 Flagship Model: A 2.8T-parameter model with native visual understanding, strong reasoning, and agentic tool-use capabilities across long-horizon tasks.
• AI agents and Agent Swarm: Complete multi-step tasks, build websites, create documents, analyze data, and split larger jobs across multiple agents.
• Kimi Code: A fast AI coding agent that plugs into your projects and development workflow for real coding tasks, not just snippets.
• Deep Research: Runs autonomous web research across many sources and returns structured, source-backed answers for complex questions.
• Visual Agentic Slides: Upload visual references and generate professionally formatted, personalized presentations in one click.
• File Upload & Web Search: Free unlimited basic chat with file uploads and live web browsing built in from the entry tier.
• Kimi API: Access Kimi models programmatically with pay-per-token billing and context caching for repeated inputs.

• Massive Context Window: The 1M-token limit is genuinely useful for long documents, large codebases, and multi-file research work.
• Low-Cost API: Pay-per-token pricing and context caching can make Kimi attractive for production applications with repeated context.
• Strong Coding Performance: Kimi Code can work across real software projects, edit code, run commands, search repositories, and handle longer coding tasks.
• Open Ecosystem: Several models (Kimi-VL, Kimi-Audio, Kimi Code) are open source, giving developers flexibility.

• Higher Usage May Require a Paid Plan: Free users have limited credits, while paid plans provide larger monthly credit allowances. Users can also purchase Extra Usage after using their subscription credits.
• Smaller Ecosystem: Fewer tutorials, integrations, and community troubleshooting resources compared to ChatGPT or Claude.
• API Costs Vary by Model and Usage: Kimi API pricing is based on token consumption, with different rates for different models and an additional fee for web search.

• Long Document Analysis: Upload full research papers, legal contracts, or books and ask Kimi to summarize, compare, or extract specific clauses without hitting context limits.
• Codebase Understanding: Feed an entire repository into a session and ask for architecture reviews, bug hunts, or refactor suggestions across many files at once.
• Academic Research: Compare multiple papers by method, evidence, and limitations, or build literature reviews grounded in uploaded sources.
• Deep Web Research: Run multi-source research queries and get structured briefings for market analysis, due diligence, or competitive intelligence.
• Chinese-English Translation: Handle long bilingual documents and localization work where context and terminology consistency matter.