LFG: Meta's Muse Glimmer is a remarkably capable model for its size: 30B parameters, local deployment, and the best reported result on 12 of 24 benchmark rows against Gemma4-31B and Qwen3.6-27B.

By my count, it beats Gemma on 19 of 24 rows and Qwen on 14.

Its strongest area is agentic work:

-MCP Atlas: 75.5 vs. Qwen's 62.5

-DeepSearch QA: 74.6 vs. 71.1

-τ3-Banking: 23.5 vs. 16.7

-SWE-Bench Pro: 51.2 vs. 50.2

-AA-LCR: 80.0 vs. 73.3

Qwen remains ahead on OSWorld, TerminalBench and most multimodal tests. Gemma leads the two primary safety metrics.

The 4-bit model fits into roughly 17GB with only 1% average degradation across 15 benchmarks, according to Meta.

And this is an unusually open Meta release: public, ungated weights under Apache 2.0, including BF16 and quantized versions, the perception encoder and DFlash drafter.

Meta delivered! Really excited for this one!