### Key Technical Specifications

#### Model Architecture
Built on a Mixture-of-Experts (MoE) architecture with 1 trillion total parameters and 32 billion activated parameters. Features 384 experts with 8 experts selected per token, optimized for efficient inference while maintaining high performance. Trained with the innovative Muon optimizer to achieve zero training instability.

#### Performance Metrics
The Kimi-K2-Instruct-0905 model demonstrates exceptional performance across coding, math, and reasoning benchmarks:
* LiveCodeBench: 53.7% Pass@1 (top-tier coding performance)
* SWE-bench Verified: 65.8% single-attempt accuracy
* MMLU (Massive Multitask Language Understanding): 89.5% exact match
* Tau2 retail tasks: 70.6% Avg@4

### Key Use Cases

#### Enhanced Frontend Development
Leverage superior frontend coding capabilities for modern web development, including React, Vue, Angular, and responsive UI/UX design with best practices.

#### Advanced Agent Scaffolds
Build sophisticated AI agents with improved integration capabilities across popular agent frameworks and scaffolds, enabling seamless tool calling and autonomous workflows.

#### Tool Calling Excellence
Experience enhanced tool calling performance with better accuracy, reliability, and support for complex multi-step tool interactions and API integrations.

#### Full-Stack Development
Handle end-to-end software development from frontend interfaces to backend logic, database design, and API development with improved coding proficiency.

### Best Practices

* For frontend development, specify the framework (React, Vue, Angular) and provide context about existing codebase structure for consistent code generation.
* When building agents, leverage the improved scaffold integration by clearly defining agent roles, tools, and interaction patterns upfront.
* Utilize enhanced tool calling capabilities by providing comprehensive tool schemas with examples and error handling patterns.
* Structure complex coding tasks into modular components to take advantage of the model's improved full-stack development proficiency.
* Use the full 256K context window for maintaining codebase context across multiple files and maintaining development workflow continuity.

### Get Started with Kimi K2 0905
Experience `moonshotai/kimi-k2-instruct-0905` on Groq:

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## Kimi K2 Version