### Key Technical Specifications

*   **Model Architecture**: Compound is powered by [Llama 4 Scout](/docs/model/meta-llama/llama-4-scout-17b-16e-instruct) and [GPT-OSS 120B](/docs/model/openai/gpt-oss-120b) for intelligent reasoning and tool use.

*   **Performance Metrics**: Groq developed a new evaluation benchmark for measuring search capabilities called [RealtimeEval](https://github.com/groq/realtime-eval). This benchmark is designed to evaluate tool-using systems on current events and live data. On the benchmark, Compound outperformed GPT-4o-search-preview and GPT-4o-mini-search-preview significantly.

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## Learn More About Agentic Tooling
Discover how to build powerful applications with real-time web search and code execution

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### Key Use Cases

*   **Realtime Web Search**: Automatically access up-to-date information from the web using the built-in web search tool.

*   **Code Execution**: Execute Python code automatically using the code execution tool powered by [E2B](https://e2b.dev/).

*   **Code Generation and Technical Tasks**: Create AI tools for code generation, debugging, and technical problem-solving with high-quality multilingual support.

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### Best Practices

*   Use system prompts to improve steerability and reduce false refusals. Compound is designed to be highly steerable with appropriate system prompts.

*   Consider implementing system-level protections like Llama Guard for input filtering and response validation.

*   Deploy with appropriate safeguards when working in specialized domains or with critical content.

*   Compound should not be used by customers for processing protected health information. It is not a HIPAA Covered Cloud Service under Groq's Business Associate Addendum for customers at this time.

### Quick Start
Experience the capabilities of `groq/compound` on Groq:

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## Key Technical Specifications