qwen3.8-27b-mlx
LM-STUDIO UNKNOWN27B
Aug 17, 2026 · Apple M5 Max
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
66 vs 81
Hardware Fit
91 vs 95
Quality Score
55 vs 75
Hardware
qwen3.8-27b-mlx qwen3:8b
MachineMacBook ProASUS
CPUApple M5 MaxIntel Core™ i5-14600KF
Cores1820
RAM64 GB32 GB
GPUApple M5 MaxNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 27.0Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.8-27b-mlx qwen3:8b
Tokens/sec33.2108.3
First chunk7 ms169 ms
TTFT311 ms169 ms
Load timeN/A1.7 s
Memory usage0.5 GB5.6 GB
Memory %1%18%
HW Fit Score Breakdown
qwen3.8-27b-mlx
Speed
41/50
TTFT
20/20
Memory
30/30
qwen3:8b
Speed
50/50
TTFT
20/20
Memory
25/30
Quality
qwen3.8-27b-mlx
Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
qwen3:8b
Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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