qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 19, 2026 · Apple M4 Max
qwen3.6:27b
OLLAMA GGUFqwen35 · 27.8B · Q4_K_M
Apr 23, 2026 · AMD RYZEN AI MAX+ 395
Global Score
80 vs 80
Hardware Fit
52 vs 60
Quality Score
92 vs 89
Hardware
qwen/qwen3.8-27b qwen3.6:27b
MachineMacBook ProAZW GTR Pro
CPUApple M4 MaxAMD RYZEN AI MAX+ 395
Cores1632
RAM128 GB125 GB
GPUApple M4 MaxRadeon 8060S
OSmacOS 26.5.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
qwen/qwen3.8-27b qwen3.6:27b
Tokens/sec16.111.2
First chunk14 ms429 ms
TTFT5.8 s429 ms
Load time8.5 s8.8 s
Memory usage0.0 GB39.7 GB
Memory %0%32%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
17/50
TTFT
5/20
Memory
30/30
qwen3.6:27b
Speed
10/50
TTFT
20/20
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
qwen3.6:27b
Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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