Mistral just released the full Mistral 3 family — from small edge models to a new sparse MoE “frontier-level” model with 675B parameters under Apache 2.0. In this video, I break down what actually matters in this drop: • Mistral Large 3 (41B active / 675B total) • Ministral 3B, 8B, 14B — base, instruct, and reasoning • Multimodal and multilingual capabilities • Real-world performance • A quick multimodal + multilingual demo For hands-on demos, tools, workflows, and dev-focused content, check out World of AI, our channel dedicated to building with these models: @intheworldofai 🔗 My Links: 📩 Sponsor a Video or Feature Your Product: intheuniverseofaiz@gmail.com 🔥 Become a Patron (Private Discord): /worldofai 🧠 Follow me on Twitter: /intheworldofai 🌐 Website: https://www.worldzofai.com 🚨 Subscribe To The FREE AI Newsletter For Regular AI Updates: https://intheworldofai.com/ 🔔 Subscribe for simple, high-quality AI breakdowns every week. #Mistral3 #MistralAI #OpenSourceAI #AIModels #TechNews #LLM mistral 3,mistral ai,mistral large 3,ministral 14b,ministral 8b,ministral 3b,open source llm,apache 2.0 llm,mistral moe,675b parameters,mistral 3 demo,mistral 3 reasoning,llama 3.1 vs mistral,mistral 3 explained,mistral 3 review,nvidia mistral,vllm mistral,tensorRT mistral,open weight models,open source ai 2025,universe of ai,mistral 3 multimodal,mistral 3 multilingual 0:00 - Intro 0:41 - What's New! 4:26 - Quick Demo! 8:07 - Outro

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