Muse Glimmer 30B: BEST LOCAL AI Model? Meta AI Beats Qwen 3.6 27B? (Fully Tested)
Por WorldofAI · 12 ago 2026 · 16:54
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🚨 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/ Meta AI is officially back with open-weight models. In this video, I fully test Muse Glimmer 30B, Meta’s new open agentic model designed to run locally on consumer hardware. 🔗 My Links: Sponsor a Video or Do a Demo of Your Product, Contact me: intheworldzofai@gmail.com 🔥 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://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model Model Card: https://huggingface.co/meta-models/Muse-Glimmer-30B| https://x.com/tomgreenwald/status/2086967581085405527 https://x.com/aimlapi/status/2087109782570230146 https://x.com/atomic_chat_hq/status/2086969743559344581?s=20 https://x.com/AstraiaAI/status/2087168028093895075?s=20 We take a look at Muse Glimmer’s performance, benchmarks, agentic capabilities, tool use, coding, efficiency, DFlash speculative decoding, and local hardware requirements. I also compare it directly against Qwen 3.6 27B to see which model is actually better for local AI. Can Muse Glimmer beat Qwen for agentic workflows? And is this the new best local AI model you can run on your own hardware? Let’s find out. [Time Stamps]: 0:00 - Intro 0:31 - Muse Glimmer 30B vs Qwen 3.6 27B 1:42 - Benchmarks 2:46 - Agentic/Tool Use 4:00 - Local Guide: How To Run 5:37 - Getting Started 6:27 - Frontend Demos 8:10 - Head-To-Head Test 8:45 - MacOS Clone 10:05 - NYC Svg 10:31 - Painting SVG 10:45 - BEST Output? 11:17 - AI Agent Automation 13:39 - Efficient 14:14 - Three.js Demo 14:55 - Local Intelligence 15:28 - Two Cents Topics Covered: Muse Glimmer 30B, Meta AI, Qwen 3.6 27B, local AI models, open-weight AI, AI agents, agentic AI, local LLMs, DFlash, speculative decoding, RTX 3090, RTX 4090, RTX 5090, MacBook M5 Max, AI benchmarks, tool use, MCP, coding benchmarks, autonomous agents #MetaAI #MuseGlimmer #LocalAI #AI #LLM #OpenSourceAI Additional tags: Muse Glimmer 30B, Muse Glimmer, Meta Muse Glimmer, Meta AI, Meta AI Muse, Qwen 3.6 27B, Qwen3.6, Qwen 27B, Muse Glimmer vs Qwen, best local AI model, best local LLM, local AI, local LLM, open source AI, open weight AI, AI agents, agentic AI, local AI agent, Meta open source AI, Meta open weights, Llama 4, DFlash, speculative decoding, RTX 3090 AI, RTX 4090 AI, RTX 5090 AI, M5 Max AI, 24GB VRAM LLM, AI benchmarks, MCP agents, tool use AI, autonomous AI agents, run AI locally, self hosted AI, best AI model 2026, AI news
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