Moonshot AI / kimi-k2
Kimi K2-Instruct-0905: State-of-the-art MoE model with 32B activated parameters and 256K context. Cloud-optimized for advanced coding and long-horizon agentic tasks.
Models
| Model | Size | Context Length | Input Modalities | Activated Parameters |
|---|---|---|---|---|
| kimi-k2-1t | 1T | 256K | Text | 32B |
Kimi K2-Instruct-0905: Advanced Mixture-of-Experts Model
Kimi K2-Instruct-0905 represents the latest and most capable version in the Kimi K2 series, featuring a state-of-the-art mixture-of-experts (MoE) architecture. With 32 billion activated parameters from a total of 1 trillion parameters, Kimi K2 delivers exceptional performance in coding, agentic tasks, and long-context understanding.
Key Features
- Advanced MoE Architecture: 32B activated parameters from 1T total parameters for optimal efficiency
- Enhanced Agentic Coding: Significant improvements in coding benchmarks and real-world agent tasks
- Improved Frontend Development: Superior aesthetics and practicality in frontend programming
- Extended Context Window: 256K token context (up from 128K) for long-horizon tasks
- State-of-the-Art Performance: Leading-edge capabilities in instruction following and task completion
- Scalable Architecture: Optimized for cloud deployment and enterprise applications
Model Variants
| Name | Size | Context | Input Modalities | Activated Parameters | Description |
|---|---|---|---|---|---|
| kimi-k2-1t | 1T | 256K | Text | 32B | Cloud-optimized advanced MoE model |
Technical Capabilities
Mixture-of-Experts Architecture
Kimi K2 leverages advanced MoE technology:
- Efficient Parameter Utilization: 32B activated parameters from 1T total
- Dynamic Routing: Intelligent expert selection for optimal performance
- Scalable Design: Architecture optimized for cloud deployment
- Performance Efficiency: High throughput with reduced computational overhead
Coding Excellence
- Agentic Coding: Enhanced performance on real-world coding agent tasks
- Frontend Development: Improved aesthetics and functionality in web interfaces
- Code Generation: High-quality code production across multiple languages
- Debugging: Advanced error detection and resolution capabilities
- Multi-File Projects: Comprehensive understanding of complex codebases
Long-Context Understanding
- Extended Context Window: 256K tokens for comprehensive document processing
- Long-Horizon Tasks: Effective handling of complex, multi-step workflows
- Document Analysis: Advanced processing of extensive technical documents
- Contextual Memory: Improved retention across extended conversations
Performance Improvements
Kimi K2-Instruct-0905 introduces several key improvements:
| Feature | Improvement Description | Impact |
|---|---|---|
| Context Length | Increased from 128K to 256K tokens | Better long-document processing |
| Agentic Coding | Enhanced performance on coding agent tasks | Improved real-world development |
| Frontend Development | Superior aesthetics and practicality | Better web development outcomes |
| Instruction Following | Improved accuracy and reliability | More dependable task completion |
| Task Completion | Enhanced ability to handle complex workflows | Better agentic performance |
Use Cases
Software Development
- End-to-End Development: Complete software lifecycle support
- Frontend Engineering: High-quality web interface development
- Code Refactoring: Intelligent codebase modernization
- Debugging: Advanced error detection and resolution
- Multi-Language Support: Consistent performance across programming languages
Agentic Workflows
- Enterprise Automation: Complex business process automation
- Research Assistance: Advanced information retrieval and synthesis
- Long-Horizon Tasks: Multi-step workflow management
- Tool Integration: Seamless integration with development tools
- Workflow Optimization: Intelligent process improvement
Content and Document Processing
- Technical Documentation: Generation and analysis of technical content
- Long-Form Analysis: Processing of extensive documents and reports
- Research Synthesis: Combining insights from multiple sources
- Knowledge Extraction: Advanced information extraction from documents
Enterprise Applications
- Business Intelligence: Data-driven decision support
- Process Automation: Intelligent workflow automation
- Customer Support: Advanced conversational AI solutions
- Content Generation: High-quality business content creation
Getting Started
Kimi K2 cloud model is available through various API providers. For more information:
- API Documentation: Kimi K2 API Guide
- Model Information: Kimi K2 Technical Report
- Developer Resources: Moonshot AI Developer Portal
- Playground: Test Kimi K2 capabilities in the interactive playground
- Community: Join the Kimi community for support and use case sharing
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