qwen3.5-9b
LM-STUDIO GGUFqwen35 · 9B · Q4_K_S
Mar 14, 2026 · Apple M4
qwen3.5:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
72 vs 77
Hardware Fit
51 vs 53
Quality Score
81 vs 87
Hardware
qwen3.5-9b qwen3.5:35b
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 Modebalancedbalanced
Performance
qwen3.5-9b qwen3.5:35b
Tokens/sec14.416.0
First chunk4 ms719 ms
TTFT824 ms719 ms
Load timeN/A17.8 s
Memory usage48.3 GB25.0 GB
Memory %151%79%
HW Fit Score Breakdown
qwen3.5-9b
Speed
31/50
TTFT
20/20
Memory
0/30
qwen3.5:35b
Speed
23/50
TTFT
20/20
Memory
10/30
Quality
qwen3.5-9b
Reasoning
16/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3.5:35b
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
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