We recommend Claygent Argon as our strongest overall model for deep research and complex analysis. It significantly outperforms Opus and GPT 4o. However, each model has its strengths, and the best choice depends on your specific task.
Argon costs 3 credits per row, like our other Claygent models (Neon and Helium). If you're experiencing unexpected outputs, it could be due to various factors. To help you better, could you please share more details about the specific task and the output you received? This will allow us to provide more targeted assistance.
Hey Jordan! Thanks for flagging. Happy to help. We'll review those fields and get back with an update🙏🏾. Let us know if you have additional examples of any weird outputs returned by Argon.