Multimodal AI Comparison: GPT-4o, Gemini, and Claude

Modern generative AI models can process text, images, audio, and complex documents simultaneously, transforming how we solve problems. This text-based course provides a clear, structured guide to understanding and comparing leading multimodal AI models, including GPT-4o, Gemini, and Claude. You will gain the practical knowledge needed to assess model strengths, formulate effective multimodal prompts, and choose the most cost-effective solution for your specific tasks. What you'll learn: - Understand foundational multimodal concepts, tokenization, and context window mechanics - Compare key strengths and trade-offs among leading models like GPT-4o, Gemini, and Claude - Apply structured multimodal prompting techniques for images, structured charts, and multi-page documents - Evaluate latency, pricing, and throughput considerations across different model tiers - Practice benchmarking and testing prompts to achieve consistent and accurate outputs The course begins with foundational terminology and core multimodal mechanics before guiding you through side-by-side comparisons, prompt engineering patterns, and practical evaluation frameworks. This course is tailored for beginners, developers, and analysts looking to understand multimodal AI without requiring advanced machine learning experience. Start reading today to master the fundamentals of modern multimodal artificial intelligence.