qwen3.5:4b
OLLAMA GGUFqwen35 · 4.7B · Q4_K_M
Aug 26, 2026 · Apple M1 Pro
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
Global Score
68 vs 84
Hardware Fit
86 vs 97
Quality Score
60 vs 79
Hardware
qwen3.5:4b qwen3:8b
MachineMacBook ProASUS
CPUApple M1 ProIntel Core™ Ultra 9 285K
Cores1024
RAM16 GB47 GB
GPUApple M1 ProNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 26.6.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5:4b qwen3:8b
Tokens/sec36.5208.0
First chunk207 ms82 ms
TTFT6.6 s1.3 s
Load time3.2 s1.5 s
Memory usage5.3 GB9.6 GB
Memory %33%20%
HW Fit Score Breakdown
qwen3.5:4b
Speed
50/50
TTFT
7/20
Memory
29/30
qwen3:8b
Speed
50/50
TTFT
18/20
Memory
29/30
Quality
qwen3.5:4b
Reasoning
16/20
Coding
1/20
Instruction
12/20
Structured
9/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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