> ## Documentation Index > Fetch the complete documentation index at: https://platform.kimi.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Kimi K2 Quickstart **The Kimi K2 series models will be officially discontinued on May 25, 2026**, and will no longer be maintained or supported. We recommend using the latest [Kimi K2.6](/guide/kimi-k2-6-quickstart) model for continued support and enhanced reasoning capabilities. ## Overview of Kimi K2 Kimi K2 is the new generation flagship model launched by Moonshot AI, featuring advanced agentic (autonomous reasoning and action) capabilities. Built with a 1T total parameter count and a 32B active parameter MoE (Mixture of Experts) architecture, Kimi K2 excels in AI coding and agent-building. [Technical Report](https://moonshotai.github.io/Kimi-K2/) kimi-k2 ### Leading Coding Abilities * Industry Leading: Kimi K2 is currently one of the best coding models in China. * Full Stack Support: Supports the entire development cycle, from frontend to backend, covering code generation, DevOps, debugging, and optimization—tailored for real-world programming scenarios. * Efficiency Boost: Comes with over a dozen ready-to-use built-in tools such as web search, together with precise tool call abilities to significantly enhance development efficiency. ### Powerful Agent-Building Capabilities * Complex Task Decomposition: Automatically decomposes requirements into a series of executable tool calls. * Enforcer & JSON Mode: Unique features ensure stability and controllability of tool call formatting. * Multitool Collaboration: Bundled with over ten built-in tools (like web search), supporting sophisticated multi-step agent workflows. [Learn more](/guide/use-official-tools). * Highly Accurate Tool Calls: The official API achieves nearly 100% accuracy in tool calls, providing a reliable foundation for agents. (Note: Tool call performance may decrease on third-party open-source platforms. For detailed benchmarks, see the [K2 Vendor Verifier Project](https://github.com/MoonshotAI/K2-Vendor-Verifier).) ### Ultra-Long Context Support * `kimi-k2-0905-preview`, `kimi-k2-turbo-preview`, `kimi-k2-thinking`, `kimi-k2-thinking-turbo` models offer a context window up to 256K tokens. ### Recommended API Versions | K2 Model Version | Features | | ---------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | kimi-k2-0905-preview | The latest Kimi K2 version, supports 256K context window | | kimi-k2-turbo-preview | High-speed Kimi K2 version, up to 60-100 tokens/s, ideal for enterprise and high-responsiveness agent applications | | kimi-k2-thinking | Long-term thinking Kimi K2 version, supports 256k context, supports multi-step tool usage and reasoning, excels at solving more complex problems | | kimi-k2-thinking-turbo | High-speed version of the long-thinking Kimi K2 model. Supports a 256K context window, delivers stronger reasoning abilities, and increases output speed to 60-100 tokens per second. | * For further information on Kimi K2 models, see the [Model List](/models) ## Get Started * [Try instantly](https://platform.kimi.ai/playground): Use the online playground to interactively test the model and evaluate its performance for your business scenarios. * [Request an API Key](https://platform.kimi.ai/console/api-keys): Start testing via the API right away. ## Example Usage Here is a complete usage example to help you quickly get started with the Kimi K2 model. ### Install the OpenAI SDK Kimi API is fully compatible with OpenAI's API format. You can install the OpenAI SDK as follows: ```python theme={null} pip install --upgrade 'openai>=1.0' ``` ### Verify the Installation ```python theme={null} python -c 'import openai; print("version =",openai.__version__)' # The output may be version = 1.10.0, indicating the OpenAI SDK was installed successfully and your Python environment is using OpenAI SDK v1.10.0. ``` ### Example Code ```python theme={null} from openai import OpenAI client = OpenAI( api_key = "$MOONSHOT_API_KEY", base_url = "https://api.moonshot.ai/v1", ) completion = client.chat.completions.create( model = "kimi-k2-turbo-preview", messages = [ {"role": "system", "content": "You are Kimi, an AI assistant provided by Moonshot AI. You excel at Chinese and English dialog, and provide helpful, safe, and accurate answers. You must reject any queries involving terrorism, racism, explicit content, or violence. 'Moonshot AI' must always remain in English and must not be translated to other languages."}, {"role": "user", "content": "Hello, my name is Li Lei. What is 1+1?"} ], temperature = 0.6, # controls randomness of output # max_tokens=32000, # maximum output tokens ) print(completion.choices[0].message.content) ``` ```bash theme={null} curl https://api.moonshot.ai/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $MOONSHOT_API_KEY" \ -d '{ "model": "kimi-k2-turbo-preview", "messages": [ {"role": "system", "content": "You are Kimi, an AI assistant provided by Moonshot AI. You excel at Chinese and English dialog, and provide helpful, safe, and accurate answers. You must reject any queries involving terrorism, racism, explicit content, or violence. 'Moonshot AI' must always remain in English and must not be translated to other languages."}, {"role": "user", "content": "Hello, my name is Li Lei. What is 1+1?"} ], "temperature": 0.6 }' ``` ```js theme={null} const OpenAI = require("openai"); const client = new OpenAI({ apiKey: "$MOONSHOT_API_KEY", baseURL: "https://api.moonshot.ai/v1", }); async function main() { const completion = await client.chat.completions.create({ model: "kimi-k2-turbo-preview", messages: [ {role: "system", content: "You are Kimi, an AI assistant provided by Moonshot AI. You excel at Chinese and English dialog, and provide helpful, safe, and accurate answers. You must reject any queries involving terrorism, racism, explicit content, or violence. 'Moonshot AI' must always remain in English and must not be translated to other languages."}, {role: "user", content: "Hello, my name is Li Lei. What is 1+1?"} ], temperature: 0.6 }); console.log(completion.choices[0].message.content); } main(); ``` If your code runs successfully with no errors, you will see output similar to the following: ```text theme={null} Hello, Li Lei! 1+1 equals 2. This is a basic addition problem. If you have more questions or need further help, feel free to ask me. ``` ### Streaming Output Example ```python theme={null} from openai import OpenAI client = OpenAI( api_key = "MOONSHOT_API_KEY", # Replace with your own API Key base_url = "https://api.moonshot.ai/v1", ) stream = client.chat.completions.create( model = "kimi-k2-turbo-preview", messages = [ {"role": "system", "content": "You are Kimi, an AI assistant provided by Moonshot AI. You excel at Chinese and English dialog, and provide helpful, safe, and accurate answers. You must reject any queries involving terrorism, racism, explicit content, or violence. 'Moonshot AI' must always remain in English and must not be translated to other languages."}, {"role": "user", "content": "Hello, my name is Li Lei. What is 1+1?"} ], temperature=0.6, # controls randomness of output max_tokens=32000, # maximum output tokens stream=True, # enable streaming output ) for chunk in stream: delta = chunk.choices[0].delta # streaming segment if delta.content: print(delta.content, end="") ``` ```js theme={null} const OpenAI = require('openai') const client = new OpenAI({ apiKey: "MOONSHOT_API_KEY", // Replace with your own API Key baseURL: "https://api.moonshot.ai/v1", }) async function main() { const stream = await client.chat.completions.create({ model: "kimi-k2-turbo-preview", messages: [ {role: "system", content: "You are Kimi, an AI assistant provided by Moonshot AI. You excel at Chinese and English dialog, and provide helpful, safe, and accurate answers. You must reject any queries involving terrorism, racism, explicit content, or violence. 'Moonshot AI' must always remain in English and must not be translated to other languages."}, {role: "user", content: "Hello, my name is Li Lei. What is 1+1?"} ], temperature: 0.6, stream: true, // enable streaming output }) for await (const chunk of stream) { const delta = chunk.choices[0].delta if (delta.content) { process.stdout.write(delta.content) } } } main() ``` ## Additional Information * Kimi K2 is a pure text model. For handling images or other file types, use the [Kimi K2.6](/guide/kimi-k2-6-quickstart) model. * See [How to use Kimi K2 within Claude Code, Roo Code, Cline](/guide/agent-support). * See how to use the [Long-Thinking Kimi K2 Model](/guide/use-kimi-k2-thinking-model). * Web search is one of the powerful tools built into Kimi API. Check here to learn how to use the [Web Search Tool](/guide/use-web-search) and other [Official Tools](/guide/use-official-tools). * See full [Model Pricing](/pricing/chat-k2), [Recharge & QPS Limit Information](/pricing/limits), and [Web Search Pricing](/pricing/tools).