qwen3.5-9b
LM-STUDIO GGUFqwen35 · 9B · Q4_K_S
Mar 12, 2026 · Apple M4 Pro
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
84 vs 85
Hardware Fit
91 vs 96
Quality Score
81 vs 80
Hardware
qwen3.5-9b qwen3.5:9b
MachineMac miniASUS
CPUApple M4 ProIntel Core™ i5-14600KF
Cores1420
RAM64 GB32 GB
GPUApple M4 ProNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 15.7.4Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-9b qwen3.5:9b
Tokens/sec30.288.6
First chunk499 ms306 ms
TTFT499 ms306 ms
Load timeN/A7.0 s
Memory usage6.7 GB8.1 GB
Memory %11%25%
HW Fit Score Breakdown
qwen3.5-9b
Speed
41/50
TTFT
20/20
Memory
30/30
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
26/30
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
qwen3.5:9b
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