Kimi K2
Advanced large language model with mixture-of-experts architecture by Moonshot AI
API
Available
Mobile App
No
Users
50K+
Free tier
Open-source model weights and code
Paid plans
API access through Moonshot AI platform
Integrations
Key Features
- 1 trillion total parameters with 32B activated
- Mixture-of-experts (MoE) architecture
- 128K context length
- Advanced reasoning capabilities
- Tool use and autonomous problem-solving
- OpenAI/Anthropic-compatible API
Overview
Kimi K2 is a state-of-the-art large language model series developed by Moonshot AI, featuring an innovative mixture-of-experts (MoE) architecture with 1 trillion total parameters and 32 billion activated parameters. Designed specifically for tool use, reasoning, and autonomous problem-solving, Kimi K2 represents a significant advancement in LLM capabilities.
Key Features
Advanced Architecture
- Mixture-of-Experts (MoE): 384 experts with 8 selected per token for optimal efficiency
- Massive Scale: 1 trillion total parameters with 32 billion activated parameters
- Extended Context: 128K token context length for handling long documents
- Large Vocabulary: 160K vocabulary size for better multilingual support
Model Variants
- Kimi-K2-Base: Foundation model for researchers and custom solutions
- Kimi-K2-Instruct: Optimized for general-purpose chat and agentic experiences
Core Capabilities
- Advanced Reasoning: Superior performance on complex reasoning tasks
- Code Generation: Excellent coding capabilities across multiple languages
- Tool Integration: Native support for tool use and function calling
- Autonomous Problem-Solving: Designed for agentic workflows and complex tasks
Technical Innovation
- Muon Optimizer: Trained using the advanced Muon optimization algorithm
- Efficient Inference: Optimized for various inference engines and deployment scenarios
- API Compatibility: OpenAI and Anthropic-compatible API endpoints
Use Cases
- AI Research: Foundation model for academic and commercial research
- Autonomous Agents: Building AI agents that can use tools and solve complex problems
- Code Generation: Advanced programming assistance and code completion
- Complex Reasoning: Tasks requiring multi-step reasoning and problem-solving
- Enterprise Applications: Custom AI solutions for business workflows
- Educational Tools: AI tutoring and educational assistance
Technical Specifications
- Total Parameters: 1 trillion
- Activated Parameters: 32 billion
- Context Length: 128K tokens
- Vocabulary Size: 160K
- Number of Experts: 384
- Experts per Token: 8
- License: Modified MIT License
Deployment Options
Self-Hosted
- vLLM: Recommended for high-throughput serving
- SGLang: Optimized for structured generation
- KTransformers: Efficient inference engine
- TensorRT-LLM: NVIDIA GPU acceleration
Cloud API
- Moonshot AI Platform: Hosted API service at platform.moonshot.ai
- OpenAI-Compatible: Drop-in replacement for OpenAI API calls
- Enterprise Support: Custom deployment and support options
Getting Started
- For Researchers: Download model weights from the GitHub repository
- For Developers: Access the API through Moonshot AI platform
- For Deployment: Choose your preferred inference engine (vLLM, SGLang, etc.)
- Integration: Use OpenAI-compatible endpoints for easy integration
Kimi K2 represents a significant leap forward in open-source LLM technology, combining massive scale with innovative architecture to deliver exceptional performance across knowledge, reasoning, and coding tasks.
Reviews & Comments
Sign in with GitHub to review or comment on this tool.
Reviews are coming soon
To enable: enable Discussions on the GitHub repo, get your repo/category IDs from giscus.app, and set them in the tool page config.
Related Chat Tools
More tools in the same category
ChatGPT
Advanced AI chatbot for conversations, content creation, and problem-solving
Claude
AI assistant by Anthropic focused on helpful, harmless, and honest interactions
Gemini
Google's multimodal AI model for text, image, and code understanding