Kimi K3 Explained!
Kimi K3: The First Open-Weights Model Setting the Frontier (3T Params, MOE, Agentic Coding) I break down why Kimi K3 feels like a new “DeepSeek moment,” arguing it’s the first open-weights model that actually sets the frontier for specialized agentic coding. I cover its 3T-parameter scale, MOE architecture (896 experts, 16 routed per token), native multimodal vision, and 1M context window, plus how it ranks highly on the AI Index and excels in coding/web dev benchmarks like Terminal Bench 2.1 while lagging in general chat and some tests like Humanity’s Last Exam and hallucination rate. I explain why Kimi models are ecosystem-friendly bases for post-training (e.g., Cursor, Cognition/Windsor, Thinking Machines) and discuss frontier-level pricing, token efficiency, enterprise focus, and how this could pressure other labs to lower prices. I also preview upcoming comparisons vs Fable 5, GPT 5.6, Sol, and GLM 5.2. LINKS: https://www.kimi.com/blog/kimi-k3 https://artificialanalysis.ai/models/kimi-k3 My voice to text App: whryte.com Website: https://engineerprompt.ai/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 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 Kimi K3 Breakthrough 01:21 Frontier But Specialized 02:02 Agentic Coding Benchmarks 03:06 Ecosystem And Post Training 04:45 Architecture And Context 05:43 Pricing And Token Efficiency 07:36 What It Means For Users
