OpenAI vs. DeepSeek vs. Qwen - Comparing Open Source LLM Architectures

Explore a comprehensive technical breakdown of the leading open-source large language models in this 13-minute video analysis. Dive deep into the architectural differences between OpenAI's first open-weights model since GPT-2, DeepSeek's innovative approaches, and Alibaba's Qwen series to understand what makes each unique under the hood. Examine their distinct implementations of mixture-of-experts architectures, long-context training methodologies, and post-training techniques that influence reasoning capabilities and alignment. Learn about Qwen-3's training innovations and reinforcement learning advances, DeepSeek V3's Multi-Head Latent Attention (MLA) mechanism and recent V3.1 updates, and how different design philosophies in model sizing and context handling strategies lead to surprisingly comparable performance outcomes. Gain insights into the technical decisions that shape modern open-source AI development and discover key takeaways about the current state of accessible large language model architectures.