Kimi k2

Kimi K2 is an advanced, open-source AI model developed by Moonshot AI. It is designed to handle complex tasks with smart decision-making abilities. Kimi K2 comes in two versions: Kimi-K2-Base, which is a robust foundation model for researchers and developers who need full customization, and Kimi-K2-Instruct, which is a post-trained model for general-purpose chat and agentic tasks.

Kimi K2 uses a mixture-of-experts (MoE) architecture with 32 billion activated parameters out of a total of 1 trillion parameters. This design keeps inference costs manageable while maintaining the benefits of a large parameter count. During each forward pass, only a subset of the model's experts are activated, making it computationally efficient.

Kimi K2 delivers state-of-the-art results in various benchmarks, including SWE-bench Verified, SWE-bench Multilingual, LiveCodeBench v6, OJBench, Tau2-bench, AceBench, AIME 2025, and GPQA-Diamond. These results highlight its strength in agentic coding, tool use, and complex STEM tasks, often outperforming or matching proprietary models like Claude and GPT-4.

The model undergoes both pre-training and post-training. Pre-training involves feeding the model a vast amount of data to learn patterns and relationships. Post-training involves the model learning from experiences it creates for itself, such as trying out tools or solving tasks and judging how well it did. To ensure stability during training, Kimi K2 uses a special optimizer called MuonClip, which prevents the model's internal math from becoming too extreme.

Kimi K2 can be accessed in several ways. It can be tried for free on the Kimi website, used via API for integration, or downloaded as open-source models from Hugging Face for local deployment. For optimal performance, high RAM capacity and supported inference engines like vLLM, SGLang, KTransformers, or TensorRT-LLM are recommended.

Kimi K2 is free to use, with the open-source models available at no cost. API usage may have associated costs depending on the volume of usage. Both the open-source models and API are available for commercial use, making Kimi K2 suitable for business applications and product development.

Kimi K2's advanced capabilities make it a versatile tool for various applications, including research, development, and educational purposes. Its multimodal intelligence allows seamless processing of text, images, and code in a single conversation, enabling comprehensive analysis of complex problems. Kimi K2's 128k context window ensures accurate and relevant responses even when dealing with substantial amounts of information.

For those interested in using Kimi K2, support is available through a dedicated support team at [email protected]. The model checkpoints are stored in the block-fp8 format and can be found on Huggingface. Deployment examples for vLLM and SGLang can be found in the Model Deployment Guide.

In summary, Kimi K2 represents a significant advancement in AI technology, offering powerful capabilities for complex tasks while remaining accessible and free to use. Its open-source nature and commercial availability make it a valuable tool for a wide range of applications.