qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 19, 2026 · Apple M4 Max
qwen3.5-9b@q5_k_xl
LM-STUDIO GGUFqwen35 · 9B · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
80 vs 73
Hardware Fit
52 vs 47
Quality Score
92 vs 84
Hardware
qwen/qwen3.8-27b qwen3.5-9b@q5_k_xl
MachineMacBook ProDocker Container
CPUApple M4 MaxIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM128 GB15 GB
GPUApple M4 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.5.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen/qwen3.8-27b qwen3.5-9b@q5_k_xl
Tokens/sec16.15.6
First chunk14 ms19 ms
TTFT5.8 s5.6 s
Load time8.5 s12.5 s
Memory usage0.0 GB0.0 GB
Memory %0%0%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
17/50
TTFT
5/20
Memory
30/30
qwen3.5-9b@q5_k_xl
Speed
10/50
TTFT
7/20
Memory
30/30
Quality
qwen/qwen3.8-27b
Reasoning
19/20
Coding
16/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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