Kimi K3.1 Pro¶

Kimi K3.1 Pro is Moonshot AI's flagship model for long-running coding, agentic work and reasoning. It reads text and images, and works with up to 1M tokens of context.

Model details¶

Prices and your rate limits are on the model's page in the Console. Image input works through the API; the Playground in the Console takes text only.

Good for¶

According to Moonshot AI, Kimi K3.1 Pro is strongest at:

• Long-horizon coding: from quick fixes in real codebases to full-project builds
• Agentic work: planning, tool use and multi-step execution
• Financial research: analysis over long financial documents
• 3D creation and design: 3D models and scenes from a text brief, sketch or reference image

For Moonshot's benchmark results, see the model card. Test it on your own tasks before you choose.

Verified by Moonshot AI¶

Our deployment of Kimi K3.1 Pro passed the acceptance check of Moonshot's Kimi Vendor Verifier, which tests whether a provider serves the model correctly. Scores at max reasoning effort:

Call the model¶

curl -X POST "https://inference.verda.com/v1/chat/completions" \
  -H "Authorization: Bearer <your key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k3-1-pro",
    "messages": [{"role": "user", "content": "What is the best viewpoint in Helsinki?"}],
    "max_tokens": 8192
  }'

For Python, Node and coding agents, see the Quickstart and Coding agents.

Reasoning¶

Kimi K3.1 Pro thinks before it answers. It returns its reasoning in reasoning_content, and reasoning counts as output tokens. To control how much it thinks, set reasoning_effort to low, high or max. The default is max. To answer without reasoning, set it to none.

At max, reasoning can use all of a small max_tokens and leave content empty, so leave room: a simple question can use 2,000 reasoning tokens.

In multi-turn conversations and tool calls, send back the complete assistant message, including reasoning_content and tool_calls, not only content.