Hey everyone! Just published a deep-dive video testing both models in real automation scenarios that I’ve actually used in client work.
What I tested:
- Customer support agent with RAG implementation
- Tool calling and reasoning capabilities
- Cost vs performance analysis
- Real-world use cases (password resets, billing issues, API troubleshooting)
Key findings:
âś… GPT-5 consistently outperformed GPT-4 in complex reasoning
âś… Better tool selection and multi-step problem solving
âś… Actually cheaper per token for the quality you get
âś… Superior at handling ambiguous customer queries
The results were honestly shocking - GPT-5 caught errors and provided solutions that GPT-4 (and even I!) completely missed, even with identical system prompts.
For anyone building/using customer support agents or complex automations, this could be a game-changer for workflows
Free N8N templates included
Have you started testing GPT-5 in your agency builds yet?! 👇