qwen3:14b
OLLAMA GGUFqwen3 · 14.8B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
90 vs 84
Hardware Fit
97 vs 94
Quality Score
87 vs 80
Hardware
qwen3:14b qwen3.5:9b
MachineMacBook ProASUS
CPUApple M1 MaxIntel Core™ i5-14600KF
Cores1020
RAM32 GB32 GB
GPUApple M1 MaxNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3:14b qwen3.5:9b
Tokens/sec24.086.3
First chunk300 ms316 ms
TTFT300 ms316 ms
Load time3.6 s0.3 s
Memory usage13.8 GB8.1 GB
Memory %43%25%
HW Fit Score Breakdown
qwen3:14b
Speed
47/50
TTFT
20/20
Memory
30/30
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
24/30
Quality
qwen3:14b
Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.5:9b
Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate 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