Muse Glimmer 30B: BEST LOCAL AI Model? Meta AI Beats Qwen 3.6 27B? (Fully Tested)
🚨 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.
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[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
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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 Receive SMS online on sms24.me
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