qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 20, 2026 · Apple M1 Pro
qwen3.5-9b@q5_k_xl
LM-STUDIO GGUFqwen35 · 9B · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
78 vs 73
Hardware Fit
56 vs 47
Quality Score
87 vs 84
Hardware
qwen3.8-27b-mlx qwen3.5-9b@q5_k_xl
MachineMacBook ProDocker Container
CPUApple M1 ProIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M1 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 15.6.1Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.8-27b-mlx qwen3.5-9b@q5_k_xl
Tokens/sec10.85.6
First chunk8 ms19 ms
TTFT2.6 s5.6 s
Load timeN/A12.5 s
Memory usage21.0 GB0.0 GB
Memory %66%0%
HW Fit Score Breakdown
qwen3.8-27b-mlx
Speed
23/50
TTFT
16/20
Memory
17/30
qwen3.5-9b@q5_k_xl
Speed
10/50
TTFT
7/20
Memory
30/30
Quality
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
qwen3.5-9b@q5_k_xl
Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate 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