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Kimi K3.1 Pro: Moonshot AI's most capable open AI agent model

Moonshot AI released the weights of its most capable model yet: it understands text and images and holds up to a million tokens — chunks of text — in memory, enough for a whole project. Anyone can download it, but running it at home isn't possible — it needs a server.

01moonshotai/Kimi-K3.1-Pro 68712k downloads/mo2.8T paramsimage-text-to-text

It's an open AI model (its weights can be downloaded) that processes text and images and can act as an agent — carrying out multi-step tasks on its own.

When it helps

Useful if you're building a product on an open model and don't want to depend on someone else's API; not meant for everyday vibe-coding on your own machine — it's a server-grade model.

Pros

  • Nearly matches Claude Opus 5.5 on terminal-agent benchmarks
  • Reads both text and images in a single request
  • Holds up to a million tokens in memory — enough for a whole project
  • Weights are open — you can host it on your own server

Cons

  • Even the compressed version needs about 1.6 terabytes of memory
  • Requires a server with multiple GPUs or a cloud rental
  • Not a tool for everyday vibe-coding

How to set it up — step by step

  1. 1Open the Kimi K3.1 Pro model page on Hugging Face — a site that hosts AI models.
  2. 2Send your AI agent the text from the block below.
  3. 3Wait for its answer on what the model is, how it differs from Claude, and what hardware it needs.
  4. 4Check whether you have access to a server with multiple GPUs or a cloud account.
  5. 5If you don't have that hardware, ask the agent about cloud providers that rent such servers.

Text for your agent

Copy this and send it to your agent — Claude Code, Codex, any of them:

Open the Kimi K3.1 Pro model page here: https://huggingface.co/moonshotai/Kimi-K3.1-Pro — explain what it is, how it compares to Claude, and what hardware or cloud rental I would need to actually run it.

This is a server-grade model, not something to run at home. Even the compressed version needs around 1.6 terabytes of memory, so it takes a multi-GPU server or a cloud rental.

Open on Hugging Face