> For the complete documentation index, see [llms.txt](https://seylo-world.gitbook.io/seylo-world/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://seylo-world.gitbook.io/seylo-world/configuration/choosing-your-models.md).

# Choosing Your Models

Seylo allows you to configure different LLM models for each agent to balance performance and cost. Here are recommended configurations:

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#### Better Performance

* **Planner & Validator**: Claude 3.7 Sonnet
  * Better reasoning and planning capabilities
  * More reliable task validation
* **Navigator**: Claude 3.5 Haiku
  * Efficient for web navigation tasks
  * Good balance of performance and cost
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#### Cost-Effective Configuration

* **Planner & Validator**: Claude Haiku or GPT-4o
  * Reasonable performance at lower cost
  * May require more iterations for complex tasks
* **Navigator**: Gemini 2.0 Flash or GPT-4o-mini
  * Lightweight and cost-efficient
  * Suitable for basic navigation tasks
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#### Local Models

* **Setup Options**:
  * Use Ollama or other custom OpenAI-compatible providers to run models locally
  * Zero API costs and complete privacy with no data leaving your machine
* **Recommended Models**:
  * **Qwen 2.5 Coder 14B**
  * **Mistral Small 24B**
* **Prompt Engineering**:
  * Local models require more specific and cleaner prompts
  * Avoid high-level, ambiguous commands
  * Break complex tasks into clear, detailed steps
  * Provide explicit context and constraints

**Note**: The cost-effective configuration may produce less stable outputs and require more iterations for complex tasks.
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