Kimi K3 is here! In this video, we break down Moonshot AI's latest 2.8T parameter open-weight LLM, featuring 1M-token context, Kimi Delta Attention (KDA), Stable LatentMoE, and Attention Residuals. We'll also compare its published benchmark performance against GPT-5.5, Claude Fable, and GLM 5.2, and discuss what makes Kimi K3 one of the most exciting AI model releases of the year. ============================================= Follow on twitter : https://x.com/Codedigipt Follow Codedigipt channel on WhatsApp: https://whatsapp.com/channel/0029Vb8S... ---------------------- Resources ---------------------------------------- https://www.kimi.com/blog/kimi-k3#an-... ============================================= #OpenSourceAI #aicoding #aiagents #artificialintelligence #chatgpt #claudecode #automation #aitools #productivity #technews #ai2026 Disclaimer: The content in this video is for informational and educational purposes only. All opinions expressed are my own. I am not a licensed professional, and this video should not be considered professional advice. Performance benchmarks are based on specific tests and may not reflect all use cases. Always do your own research and consult with a qualified expert where necessary. Use the information provided at your own risk. Some links or products mentioned may be affiliate links, which means I may earn a small commission at no extra cost to you. Thank you for your support! Get vidIQ to grow your channel faster! 🚀 https://vidiq.com/Codedigipt