qwen3:14b
OLLAMA GGUFqwen3 · 14.8B · Q4_K_M
Mar 19, 2026 · Apple M4
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
82 vs 80
Hardware Fit
71 vs 85
Quality Score
86 vs 78
Hardware
qwen3:14b qwen3:8b
MachineMac miniHP HP Z8 G4 Workstation
CPUApple M4Intel Xeon® Gold 6230
Cores1080
RAM24 GB252 GB
GPUApple M4TU104GL [Quadro RTX 5000]
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
qwen3:14b qwen3:8b
Tokens/sec10.365.1
First chunk513 ms289 ms
TTFT513 ms4.2 s
Load time7.2 s4.6 s
Memory usage9.4 GB5.6 GB
Memory %39%2%
HW Fit Score Breakdown
qwen3:14b
Speed
23/50
TTFT
20/20
Memory
28/30
qwen3:8b
Speed
50/50
TTFT
5/20
Memory
30/30
Quality
qwen3:14b
Reasoning
17/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
qwen3:8b
Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate 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