muse-glimmer
OLLAMA GGUFSep 5, 2026 · AMD RYZEN AI MAX+ 395
qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 20, 2026 · Apple M1 Pro
Global Score
74 vs 78
Hardware Fit
41 vs 56
Quality Score
88 vs 87
Hardware
muse-glimmer qwen3.8-27b-mlx
MachineAZW GTR ProMacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M1 Pro
Cores3210
RAM125 GB32 GB
GPURadeon 8060SApple M1 Pro
OSUbuntu 24.04.4 LTSmacOS 15.6.1
Archx64arm64
Power Modelow-powerbalanced
Performance
muse-glimmer qwen3.8-27b-mlx
Tokens/sec12.110.8
First chunk8749 ms8 ms
TTFT8.7 s2.6 s
Load time0.3 sN/A
Memory usage0.0 GB21.0 GB
Memory %0%66%
HW Fit Score Breakdown
muse-glimmer
Speed
10/50
TTFT
1/20
Memory
30/30
qwen3.8-27b-mlx
Speed
23/50
TTFT
16/20
Memory
17/30
Quality
muse-glimmer
Reasoning
18/20
Coding
18/20
Instruction
13/20
Structured
14/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.8-27b-mlx
Reasoning
18/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest