Not all models providers are equal

Deciphering GPT-OSS Performance: Why Inference Setup Matters We explore the performance variability across different API providers and benchmark tests, highlighting significant discrepancies in speed, cost, and intelligence. https://artificialanalysis.ai/models/gpt-oss-120b/providers#evaluations https://x.com/ArtificialAnlys/status/1955102409044398415 https://x.com/DKundel/status/1955035810388119820 https://x.com/petergostev/status/1955764534490083813/photo/1 https://x.com/ClementDelangue/status/1953119901649891367 https://x.com/lmarena_ai/status/1955669431742587275 https://cookbook.openai.com/articles/openai-harmony https://x.com/ggerganov/status/1953137378232615031 https://openrouter.ai/openai/gpt-oss-120b/providers 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 00:00 Introduction to Inference Challenges 00:47 Benchmarking API Providers 03:40 Performance Variations Explained 06:57 Local Hosting Solutions 08:46 Conclusion and Final Thoughts