qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 17, 2026 · Apple M5 Max
muse-glimmer
OLLAMA GGUFSep 5, 2026 · AMD RYZEN AI MAX+ 395
Global Score
59 vs 74
Hardware Fit
63 vs 41
Quality Score
58 vs 88
Hardware
qwen3.8-27b-mlx muse-glimmer
MachineMacBook ProAZW GTR Pro
CPUApple M5 MaxAMD RYZEN AI MAX+ 395
Cores1832
RAM64 GB125 GB
GPUApple M5 MaxRadeon 8060S
OSmacOS 27.0Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
qwen3.8-27b-mlx muse-glimmer
Tokens/sec18.312.1
First chunk4 ms8749 ms
TTFT530 ms8.7 s
Load timeN/A0.3 s
Memory usage38.5 GB0.0 GB
Memory %60%0%
HW Fit Score Breakdown
qwen3.8-27b-mlx
Speed
23/50
TTFT
20/20
Memory
20/30
muse-glimmer
Speed
10/50
TTFT
1/20
Memory
30/30
Quality
qwen3.8-27b-mlx
Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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
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