qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 19, 2026 · Apple M4 Max
qwen3.8:27b
OLLAMA GGUFqwen35 · 27.3B · Q4_K_M
Aug 15, 2026 · AMD RYZEN AI MAX+ 395
Global Score
84 vs 80
Hardware Fit
69 vs 66
Quality Score
90 vs 86
Hardware
qwen/qwen3.8-27b qwen3.8:27b
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 qwen3.8:27b
Tokens/sec28.918.4
First chunk33 ms587 ms
TTFT4.4 s587 ms
Load time7.9 s7.4 s
Memory usage0.0 GB17.4 GB
Memory %0%14%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
33/50
TTFT
6/20
Memory
30/30
qwen3.8:27b
Speed
17/50
TTFT
19/20
Memory
30/30
Quality
qwen/qwen3.8-27b
Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.8:27b
Reasoning
17/20
Coding
18/20
Instruction
16/20
Structured
14/15
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