qwen3:4b
OLLAMA GGUFqwen3 · 4.0B · Q4_K_M
Mar 1, 2026 · Apple M4
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
47 vs 85
Hardware Fit
53 vs 96
Quality Score
45 vs 80
Hardware
qwen3:4b qwen3.5:9b
MachineMacBook AirASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modeunknownbalanced
Performance
qwen3:4b qwen3.5:9b
Tokens/sec11.388.6
First chunkN/A306 ms
TTFT9.2 s306 ms
Load time0.1 s7.0 s
Memory usage7.2 GB8.1 GB
Memory %23%25%
HW Fit Score Breakdown
qwen3:4b
Speed
17/50
TTFT
6/20
Memory
30/30
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
qwen3:4b
Reasoning
4/20
Coding
6/20
Instruction
8/20
Structured
6/15
Math
12/15
Multilingual
9/10
Reasoning: Poor Coding: Weak Instruction Following: Weak Structured Output: Weak 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