Kimi K2 is a language model developed by Moonshot AI, utilizing a Mixture-of-Experts (MoE) architecture.
Model Versions
Kimi-K2-Base: This is a foundational pre-trained model without instruction tuning, suitable for research and custom application scenarios. It offers full control for researchers and developers, facilitating fine-tuning and customization.
Kimi-K2-Instruct: This version has undergone general instruction tuning and is optimized for Q&A and agentic tasks, delivering excellent performance. It does not support long-term reasoning, making it ideal for applications requiring quick responses.
Model Features
Parameter Scale: Kimi K2 is a Mixture-of-Experts language model with a total of 1 trillion (1T) parameters and 32 billion (32B) active parameters. This large-scale configuration equips the model with enhanced capabilities for handling complex tasks.
Context Length: The model supports a maximum context length of 128K tokens, enabling it to process longer text inputs, making it suitable for long documents, codebases, or complex dialogues.
Agentic Capabilities: Kimi K2 is specifically optimized for executing agentic tasks such as autonomous programming, tool invocation, and logical reasoning, demonstrating outstanding performance in these areas.
Training Optimization: The model is trained using the MuonClip optimizer, ensuring training stability and efficiency at large parameter scales. This optimization addresses common instability issues in large model training.
Benchmark Performance: Kimi K2 has achieved excellent results across multiple benchmark tests, especially in code generation, mathematical reasoning, and agentic tasks, ranking among the top-performing open-source models.
Open Source and Availability: Kimi K2 is open-source and accessible via API services. It is compatible with OpenAI and Anthropic Chat API interfaces, making it easy for developers to integrate into existing applications.
Application Scenarios
Code and Software Development: Kimi K2 is designed for complex coding tasks, capable of handling large volumes of code and requirement documents. It supports code generation, debugging, and cross-language translation, enabling developers to quickly scaffold projects or implement specific features.
Intelligent Agents and Workflow Automation: The model can understand natural language instructions and autonomously call databases, file systems, email, or internal APIs to complete multi-step business processes. This makes Kimi K2 highly promising for enterprise automation and intelligent agent applications.
Mathematical Reasoning and Research Assistance: Kimi K2 excels at solving competition-level math problems and logical reasoning tasks, and can generate reproducible experimental scripts, making it a valuable tool for researchers.
Text Insight and Analysis: In fields such as law, auditing, and operations, Kimi K2 can rapidly perform contract comparison, compliance checks, or fault diagnosis, helping teams improve efficiency.
Data Analysis and Visualization: Kimi K2 can analyze large-scale datasets and generate statistical charts and reports, making it suitable for market research and data science applications.
