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Kimi

Kimi is Moonshot AI's public assistant and developer model platform for chat, coding, research, tools, and agent-style work.

Moonshot presents Kimi as a public assistant and developer platform. Current choices include K3 for conversations and agent tasks, plus K3 Cluster for larger searches and batch work. This profile is for general reference, not a ranking, benchmark, or recommendation. Check the chatbot's own materials before relying on it.

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What it is

Public assistant from Moonshot AI

Kimi is Moonshot AI's public assistant for conversations, documents, coding, research and tasks using its available tools.

Why it stands out

Questions, agent tasks and batch work

Kimi’s help guide separates quick chat from agent tasks and larger searches or batch processing. The choice affects the work requested and member-credit use, rather than simply picking the newest name.

Availability

Public app and API platform

Kimi is available on the web, mobile, desktop, Kimi Code, and the Kimi API. Model choices, member credits, API prices, and tool access can differ between those routes.

What makes it useful

For a question that combines a document and a web page, Kimi documents uploads, URL fetching and research tools. These can bring the materials into one task while leaving the originals available for checking.

What to know

Where it fits

Kimi’s guide names K2.6 for quick questions, K3 for agent work, and K3 Cluster for larger searches and batch processing. These are task choices with different credit use; check which options your account exposes. Kimi Code and model API access have separate setup.

Notable points

What stands out

The agent guide lists uploads, URL fetching, web search and an IPython tool for data analysis and visualization. For a spreadsheet with monthly figures, you could request a chart using named date and value columns and ask which rows were excluded.

Before using

What to review

Choose the chat or agent mode that matches the task, and check its access and credit requirements.

For a chart, inspect the selected columns, excluded rows and analysis steps against the uploaded file.

Review the service’s upload terms before combining private documents with fetched web material.

Reader fit

Who may find it relevant

People bringing documents or data into a research task, and builders exploring Moonshot’s separate model platform. A local-only workflow needs a different deployment path.

Editorial note

Why LifeHubber lists it

When you need the calculation behind a chart, Kimi’s analysis route is worth a look. Its documented IPython tool gives you a way to request a computed result alongside the written explanation, then ask about the steps that produced it. That is useful for exploring your own data rather than only summarizing an uploaded file. Check the work against the original spreadsheet before using the result.

Source links

Original materials

Kimi model and chat guide

Reader note

Before relying on this entry

LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.

What to explore next

Connect the assistant to the Kimi model family

Kimi K3 offers one view into the wider model family. The agent guide helps separate that model layer from tools and workflows.

Resource Open the Kimi K3 Resource Examine its multimodal input, long context, tool calls, and deployment tradeoffs. Guide AI Models vs AI Agents: Why the Setup Matters Separate the model from tools, memory, loops, and permissions.