qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 19, 2026 · Apple M4 Max
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
Global Score
83 vs 84
Hardware Fit
68 vs 97
Quality Score
90 vs 79
Hardware
qwen/qwen3.8-27b qwen3:8b
MachineMacBook ProASUS
CPUApple M4 MaxIntel Core™ Ultra 9 285K
Cores1624
RAM128 GB47 GB
GPUApple M4 MaxNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 26.5.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen/qwen3.8-27b qwen3:8b
Tokens/sec27.6208.0
First chunk10 ms82 ms
TTFT4.6 s1.3 s
Load timeN/A1.5 s
Memory usage21.0 GB9.6 GB
Memory %16%20%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
32/50
TTFT
6/20
Memory
30/30
qwen3:8b
Speed
50/50
TTFT
18/20
Memory
29/30
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
qwen3:8b
Reasoning
18/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Weak 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