Why they feel dumber? ... its not the model

Thanks to Supabase for sponsoring this video, check them out: https://supabase.plug.dev/UGNnsbw Learn why the same 1T open-weight model can perform widely differently, depending on the inference provider. We will look at a Kimi K2 vendor verifier benchmark that compares open router providers, highlight real benchmark gaps accuracy with cost slash latency and show what to check before blaming the model weights. Website: https://engineerprompt.ai/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: engineerprompt@gmail.com Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 TIMESTAMP: 00:00 The Problem with Open Rate Models 01:14 Not All APIs are the same 02:16 KIMI K2 - Vendor Verifier 04:42 Why we see variations 06:54 Understanding Tool Calls in Agent Systems 08:23 Backend as a Service: Supabase 09:52 How to think about benchmark design