Clay Model Selection Cheat Sheet for Use Cases

·

Are there any cheat sheets for which model to use for which use case in clay specifically claygent? For instance which model should i use for a simple task like finding total number of employees on a company linkedin

3 comments

Channeled
APP
·
·
For Claygent model selection, here are the key guidelines: For simple data extraction tasks like finding employee counts: ** Claygent Helium: Best price-performance for basic tasks ** Claygent Neon: Excels in answer formatting and data extraction, allows formatting results into multiple columns For complex analysis: ** Claygent Argon: Strongest overall model for deep research and complex analysis ** GPT-4/Claude Opus: Enhanced reasoning capabilities but less answer formatting For your specific use case (finding total employees), Claygent Neon would be ideal since it excels at data extraction and formatting. Model selection is "more of an art than a science" - we encourage experimenting to find the best fit for your specific needs.
Sources: Claygent: AI Web Scraper [Limitless Research] - Clay University Claygent: AI Web Scraper [Clay 101] - Clay University Claygent: AI Web Scraper [Automated Outbound] - Clay University
David K.
·
·
i am more wondering if i use 4o-mini vs 4.1Mini
Channeled
APP
·
·
This thread was picked up by our in-app web widget and will no longer sync to Slack. If you are the original poster, you can continue this conversation by logging into https://app.clay.com and clicking "Support" in the sidebar. If you're not the original poster and require help from support, please post in 02 Support.