kimi-k2-6

This documentation is valid for the following list of our models:

  • moonshot/kimi-k2-6

Model Overview

A next-generation open-weight multimodal model built for advanced long-horizon coding, UI/UX generation, and multi-agent orchestration, powered by a 1T-parameter Mixture-of-Experts architecture with 32B active parameters. It delivers competitive performance with leading proprietary models such as GPT-5.4 and Claude Opus 4.6 on coding and agentic workloads.

How to make the first API call

1️⃣ Required setup (don’t skip this)Create an account: Sign up on the AI/ML API website (if you don’t have one yet). ▪ Generate an API key: In your account dashboard, create an API key and make sure it’s enabled in the UI.

2️ Copy the code example At the bottom of this page, pick the snippet for your preferred programming language (Python / Node.js) and copy it into your project.

3️ Update the snippet for your use caseInsert your API key: replace <YOUR_AIMLAPI_KEY> with your real AI/ML API key. ▪ Select a model: set the model field to the model you want to call. ▪ Provide input: fill in the request input field(s) shown in the example (for example, messages for chat/LLM models, or other inputs for image/video/audio models).

4️ (Optional) Tune the request Depending on the model type, you can add optional parameters to control the output (e.g., generation settings, quality, length, etc.). See the API schema below for the full list.

5️ Run your code Run the updated code in your development environment. Response time depends on the model and request size, but simple requests typically return quickly.

API Schema

post
Body
modelstring · enumRequiredPossible values:
max_tokensnumber · min: 1Optional

The maximum number of tokens that can be generated in the chat completion. This value can be used to control costs for text generated via API.

streambooleanOptional

If set to True, the model response data will be streamed to the client as it is generated using server-sent events.

Default: false
tool_choiceany ofOptional

Controls which (if any) tool is called by the model. none means the model will not call any tool and instead generates a message. auto means the model can pick between generating a message or calling one or more tools. required means the model must call one or more tools. Specifying a particular tool via {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool. none is the default when no tools are present. auto is the default if tools are present.

string · enumOptional

none means the model will not call any tool and instead generates a message. auto means the model can pick between generating a message or calling one or more tools. required means the model must call one or more tools.

Possible values:
or
parallel_tool_callsbooleanOptional

Whether to enable parallel function calling during tool use.

stopany ofOptional

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

stringOptional
or
string[]Optional
or
any · nullableOptional
seedinteger · min: 1Optional

This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result.

response_formatone ofOptional

An object specifying the format that the model must output.

or
or
Responses
200Success
idstringRequired

A unique identifier for the chat completion.

Example: chatcmpl-CQ9FPg3osank0dx0k46Z53LTqtXMl
objectstring · enumRequired

The object type.

Example: chat.completionPossible values:
creatednumberRequired

The Unix timestamp (in seconds) of when the chat completion was created.

Example: 1762343744
modelstringRequired

The model used for the chat completion.

Example: moonshot/kimi-k2-6
post
/v1/chat/completions
200Success

Code Example

Response

Last updated

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