Claygent Neon and GPT-4 have distinct characteristics: Claygent Neon: ** Is our flagship model specifically designed for agent tasks
** Excels in answer formatting and data extraction
** Can format results into multiple columns or outputs
** Has shown the highest accuracy in internal testing
** Performs better at parsing PDFs and finding hard-to-find information
** Costs 2 credits per useGPT-4: ** Offers enhanced reasoning capabilities
** Better suited for complex analytical tasks
** Doesn't provide the same level of answer formatting as Neon
** Can be useful for testing data accuracy
* Costs 3 credits per row when using Clay keyNote: There isn't a "GPT-4o mini" model mentioned in our documentation. You might want to double-check the specific model name you're referring to.
Sources:Claygent: AI Web Scraper [CRM Enrichment] - Clay UniversityIntroducing Claygent Neon