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Kimi API Platform provides access to Kimi models through the OpenAI-compatible Responses API and the Anthropic-compatible Messages API. To get started, create an API Key, choose a model, and configure the base_url for your client. You can then send requests directly over HTTP or use the OpenAI or Anthropic SDK.
Kimi K3.1 Pro is now available in standard and high-speed variants — Kimi’s most capable flagship model to date, with a 1M-token context window and native visual understanding, delivering substantial improvements across coding, 3D creation, and financial research and modeling. It is well suited for programming agent scenarios such as Kimi Code, Codex, and Claude Code, as well as knowledge work and deep reasoning. Join the Kimi developer community — let’s build with kimi!

Get started

1

Get an API Key

Visit the Kimi API Platform, sign in, then go to API Keys to create and copy an API Key.Keep your API Key secure. Do not share it with others or hard-code it directly in your application. We recommend storing it in an environment variable:

Kimi API Platform

Sign in to the platform to access the console, development workspace, and user center.

API Keys

Create, copy, and manage the keys used for API calls.
2

Choose a model

For a quickstart, we recommend starting with Kimi K3.1 Pro; choose the Kimi K3.1 Pro high-speed variant when you need faster output.

Kimi K3.1 Pro

Kimi K3.1 Pro is the first flagship of our new K3.1 series — a 3T-class model with a 1M-token context window and major gains in coding, 3D creation, and financial research and modeling.

Kimi K3.1 Pro Highspeed

kimi-k3.1-pro-highspeed is the high-speed variant of Kimi K3.1 Pro — same capabilities at about 2-3× the speed, for scenarios that need faster output.
If you are not sure which model to choose, start with kimi-k3.1-pro. If your task is mainly code generation, code editing, or programming agents and you need higher output speed, choose kimi-k3.1-pro-highspeed.
3

Choose an integration method

Kimi API is compatible with both the OpenAI and Anthropic API formats, so you can choose the integration method that best fits your technology stack.

Chat Completions API

OpenAI-compatible format, with support for the OpenAI SDK and HTTP access from any language.

Responses API

OpenAI-compatible format for generating text/JSON output or calling function tools.

Messages API

Anthropic Messages API compatible, for integrating with the Anthropic SDK, Claude Code, and similar tools.

Playground

Test prompts, model behavior, and business examples without writing code.
4

Make your first call

The following examples use the Kimi K3.1 Pro model. Replace MOONSHOT_API_KEY with the API Key you created on the platform, or set an environment variable with the same name before running the examples.
The examples on this page use the latest model kimi-k3.1-pro by default. K3.1 Pro configures reasoning effort with the top-level reasoning_effort request field (supports "low" / "high" / "max", default "max"). To use another model such as kimi-k2.6, just replace the model field — parameter configurations differ across models. See the Model Parameter Reference.
To use the high-speed model for coding scenarios, replace kimi-k3.1-pro in the examples with kimi-k2.7-code-highspeed.
Before running the examples, prepare:
  1. Python 3.8 or later, or Node.js 18 or later.
  2. OpenAI SDK 1.0.0 or later. Kimi API is compatible with the OpenAI API format, so you can call Kimi directly with the OpenAI Python or Node.js SDK.
  3. An API Key. Create an API Key in the Kimi API Platform, then pass it to the OpenAI Client so the platform can identify your account.
If the code runs successfully without errors, you will see output similar to:
Note: Because Kimi models are nondeterministic, the actual response may not exactly match the example above.

Explore more features

Streaming output

Enable stream to receive tokens as they are generated. Useful for chat, code generation, and long-form text output.

Multi-turn chat

Maintain a messages list to preserve context history, letting the model remember the conversation.

Multimodal input

Kimi K3.1 Pro, Kimi K3, Kimi K2.7 Code, and Kimi K2.6 all support text, image, and video input.

Tool calls

Let the model call external functions or APIs for Agent tasks, web search, and complex workflows.

JSON Mode

Force the model to output valid JSON for structured data extraction and downstream integration.

Thinking models

Use reasoning capabilities for complex tasks, multi-step tool use, and Agent workflows.

Streaming output

Multimodal input

For larger videos, or images and videos that need to be referenced multiple times, we recommend using file uploads. Images should be no larger than 4K resolution, and videos should be no larger than 1080p.

Kimi K3.1 Pro model

View Kimi K3.1 Pro capabilities, calling examples, and best practices.

Kimi K2.7 Code model

View Kimi K2.7 Code capabilities, calling examples, and best practices.

Model list

View currently available model names and descriptions.

Join the Kimi Developer Community

Ask questions, share feedback, and showcase what you are building with Kimi.