Benchmarking LLMs: Claude 4, Gemini 2.5, and Mixture of Expert Models

Dive into a comprehensive 38-minute video where Chris Hay conducts detailed benchmarking analysis of leading AI language models. Explore performance comparisons across OpenAI's GPT-3.5-turbo and GPT-4.1-nano, the Claude 3 and 4 model families, Gemini, and Mistral. Gain valuable insights into which models likely use Mixture of Experts (MoE) architecture and discover which providers offer the fastest performance. The analysis reveals interesting patterns in model capabilities, response times, and architectural approaches. Follow along through structured segments covering introduction, model capabilities overview, and separate benchmarking sections for each major AI provider, concluding with a ChatGPT analysis and final observations.