Kimi

The AI landscape has a new frontier: models that can hold an entire book in their working memory. Kimi, built by Moonshot AI, is one of the most famous of them — a free chatbot with a 1-million-token context window, agentic coding chops, and native vision. If you’ve ever wanted to paste a whole codebase into a single prompt, this guide explains what Kimi is and whether it belongs in your AI stack.

For a broad view of the AI assistant landscape, start with our roundup of the best AI tools in 2026 or the AI Tools directory.

What is Kimi?

Kimi is a conversational AI assistant and model series from Moonshot AI, a Chinese AI company that has grown into one of the world’s most valuable model labs. Its claim to fame is context: a 1-million-token window that lets you load documents, books, and codebases that other assistants simply cannot fit into memory.

The name comes from the concept of “digesting” long inputs — and that’s exactly what it’s built to do. Where most chatbots struggle past a few hundred pages, Kimi treats a large repository or a 300-page report as a single readable document.

On the platform you get:

• A powerful language model for chat, analysis, and writing
• 1M token context — entire books, codebases, and datasets in one prompt
• Native vision — reads images, diagrams, and UI mockups
• Agentic coding — multi-step refactoring and code analysis
• Free web and mobile access (iOS/Android)

How Kimi works

Kimi works like any modern AI assistant, but the context size changes what you can do with it:

1. Open kimi.com (or the mobile app) — no payment needed for basic use.
2. Upload a long document — a book, a report, a repository.
3. Ask questions across all of it — Kimi reasons over the whole input, not chunks of it.
4. Use vision — upload a diagram or mockup and ask for analysis.
5. For developers — call the API for programmatic access.

The practical effect: tasks that used to require careful document-splitting become one-step operations. “Summarize this book,” “find every pricing mention in this contract stack,” “refactor this module while keeping the rest of the codebase in mind” — all work in a single prompt.

Key features of Kimi

The 1M-token context window

The headline feature. Kimi can hold roughly a million tokens of context — enough for entire books, large codebases, or weeks of documents — and reason across all of it coherently. This is genuinely transformative for document analysis, code review, and research.

Agentic coding

Kimi is designed for long-horizon tasks: multi-step code changes, deep refactoring, spreadsheet and slide operations, and data analysis that requires sustained reasoning rather than single answers.

Native vision

Kimi understands images natively — diagrams, charts, UI mockups, and photos. You can upload a design and ask for a breakdown, or point it at a screenshot and ask what’s going on.

Free consumer access

The web chat and mobile apps are free for regular use, which makes it an accessible option for students, researchers, and power users who need long-context help without a subscription.

Kimi vs. DeepSeek vs. Qwen

	Kimi	DeepSeek	Qwen Chat
Context window	1M tokens	1M tokens	1M tokens
Free web chat	✅ Yes	✅ Unlimited	✅ Unlimited
Open-source models	Partial	✅ Many	✅ Many
Vision	✅ Native	✅	✅
Best at	Long documents	Coding, reasoning	All-in-one features

Kimi wins when your task is fundamentally about length — a whole book, a whole repo, one giant context. DeepSeek is the coding-and-reasoning specialist with the most famous open weights. Qwen Chat is the most complete free all-in-one package (chat + images + search). For long-document work specifically, Kimi’s reputation is unmatched.

Who is Kimi for?

• Researchers and students — analyze entire books and papers in one go.
• Developers — coding with the full codebase in context.
• Analysts — long reports, contracts, and datasets.
• Anyone who wants a free, capable assistant with enormous context.

It’s not for organizations with strict data-residency requirements — Kimi processes data in China, which is a compliance blocker in some regulated industries. It’s also less suited to creative writing than Western models like Claude.

How to get started with Kimi

1. Open kimi.com in your browser or download the mobile app.
2. Create an account — quick and free.
3. Upload a long document — try a book or a big report.
4. Ask a question that spans the whole document — feel the context difference.
5. For developers — grab an API key from Moonshot’s platform and start building.

There’s nothing to configure — the long-context power is available from the first message.

The bottom line

Kimi is the long-context champion of the AI assistant world: a free chatbot that can hold an entire book or codebase in memory and reason across it in one prompt. For document analysis, research, and agentic coding, that capability genuinely changes what’s possible. The main trade-off is data residency — but for non-sensitive work, Kimi is one of the most powerful free assistants available.

Pair it with DeepSeek for open-source coding models and NotebookLM for source-grounded research, and you have a complete AI stack.

Official resource: Kimi.