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Explore Qwen 3.8 27B BLOWS MY MIND! Best Local AI Model Yet! Basically Opus Locally! (Fully Tested) with 95,847 views, 1,838 likes, and 231 comments. Experience the impact of this video content that has captured audience attention.

Join the private community to get WoAI Bench Pro, exclusive AI freebies and discounts, early model access, automation templates, practical resources and upcoming AI training. 👉 Join Today! https://www.skool.com/worldofai 🚨 Everything you’re about to see, I benchmarked using the tool I made. If you want to run these tests yourself or test models on whatever you actually use them for! → https://www.woaibench.ai/ Qwen 3.8 27B might be the BEST local AI model I've tested yet! 🤯 In this video, I fully test the new open-weight Qwen3.8-27B from Alibaba to see just how close a 27B model running locally can get to frontier models like Claude Opus. 🔗 My Links: Sponsor a Video or Do a Demo of Your Product, Contact me: [email protected] 🔥 Become a Patron (Private Discord): https://patreon.com/WorldofAi 🧠 Follow me on Twitter: https://twitter.com/intheworldofai 🚨 Subscribe To The SECOND Channel: https://www.youtube.com/@UCYwLV1gDwzGbg7jXQ52bVnQ 👩🏻‍🏫 Learn to code with Scrimba – from fullstack to AI https://scrimba.com/?via=worldofai (20% OFF) 🚨 Subscribe To The FREE AI Newsletter For Regular AI Updates: https://intheworldofai.com/ 👾 Join the World of AI Discord! : https://discord.gg/NPf8FCn4cD Something coming soon :) https://www.skool.com/worldofai-automation [Must Watch]: OpenAI's GPT-6 Astra WILL BE AGI! Greatest AI Model Ever!: https://youtu.be/KbYio-N8_LU Qwen 3.8 Max IS OUT! Best Open Model? (Fully Tested): https://youtu.be/vmLwsoVRo30 DeepSeek V4 Flash GA IS INCREDIBLE! Powerful, Cheap, & Fast! (Fully Tested): https://youtu.be/wT42SgaOPK4 📌 LINKS & RESOURCES World of AI Benchmark: https://www.woaibench.ai/ AI NEWS: https://x.com/intheworldofai Blog: https://x.com/Alibaba_Qwen/status/2088280182356611304 Weights: https://huggingface.co/collections/Qwen/qwen38 Model Scope: https://www.modelscope.cn/collections/Qwen/Qwen38 https://x.com/loktar00/status/2088305773109465458 https://x.com/loktar00/status/2088329789434221034 https://x.com/MaziyarPanahi/status/2088304775444013280?s=20 https://x.com/quimedesu/status/2088373049502351731?s=20 https://x.com/WescheNex1q/status/2088309142565831094 I'm running Qwen3.8-27B completely locally on my RTX 4090 with 24GB VRAM, using an Unsloth Dynamic 4-bit quant through Open WebUI. And the results genuinely blew my mind. 🔥 In this video: • Qwen3.8-27B real-world benchmarks • Agentic & long-horizon coding tests • One-shot GTA 6-style game generation • Three.js & frontend development tests • Vision & multimodal capabilities • Local inference performance • Unsloth Dynamic GGUF quantization • 4-bit versions around ~17GB • How you can run Qwen3.8 locally • Qwen3.8 vs Claude Opus-level coding • Whether this is the BEST local AI model yet The craziest part is just how much capability Alibaba has packed into 27 billion parameters. You can run this model on consumer hardware, keep everything local, avoid API costs, and still get seriously impressive coding and agentic performance. If you're into local AI, open-source/open-weight models, AI coding agents, or running LLMs on your own hardware, Qwen3.8-27B is absolutely one to watch. Subscribe for more AI model tests, benchmarks, local AI tutorials, and the latest AI news! 🚀 [Time Stamps]: 0:00 - Intro 1:51 - Best Local Model 2:00 - Benchmarks 3:02 - Beats Opus 4.6 3:45 - Speed 4:10 - Local Guide 5:46 - My Setup 7:03 - Call of Duty Zombies Clone 9:04 - Design Taste 9:43 - NVIDIA Landing Page 10:30 - Frontend Demo 10:59 - MacOS Clone 12:13 - Multimodal Demo 13:26 - Web Dev 13:44 - SVG Demos 15:16 - 3D Product Viewer 15:41 - Worst Gen? 16:12 - Three.js Demo 17:23 - GTA Clone 17:59 - Two Cents #Qwen #Qwen38 #Qwen3827B #LocalAI #OpenSourceAI #AI #LLM #Alibaba #AICoding #CodingAI #Claude #ClaudeOpus #OpenWebUI #Unsloth #GGUF #RTX4090 #NVIDIA #AgenticAI #AIAgents #LocalLLM #MachineLearning #GenerativeAI #ArtificialIntelligence #VibeCoding Tags: Qwen 3.8 27B, Qwen3.8, Qwen3.8 27B, Qwen 3.8, Qwen 27B, Alibaba Qwen, Qwen AI, Qwen3, local AI, best local AI model, best local LLM, local LLM, open source AI, open weight AI, Claude Opus locally, Qwen vs Claude, Qwen vs Opus, Claude Opus, AI coding, coding AI, agentic coding, AI coding agent, AI agents, agentic AI, Unsloth, Unsloth Qwen, Unsloth Dynamic, GGUF, Qwen GGUF, Qwen 4 bit, 4 bit quantization, Open WebUI, Ollama, LM Studio, RTX 4090 AI, 24GB VRAM LLM, run AI locally, run Qwen locally, Qwen local setup, local AI 2026, best AI model 2026, open source LLM, multimodal AI, vision language model, VLM, GTA 6 AI, vibe coding, Three.js AI, World of AI

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