qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · 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
53 vs 84
Hardware Fit
72 vs 94
Quality Score
45 vs 80
Hardware
qwen3.5:9b 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
qwen3.5:9b qwen3.5:9b
Tokens/sec18.686.3
First chunk403 ms316 ms
TTFT10.2 s316 ms
Load time4.3 s0.3 s
Memory usage9.1 GB8.1 GB
Memory %28%25%
HW Fit Score Breakdown
qwen3.5:9b
Speed
38/50
TTFT
4/20
Memory
30/30
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
24/30
Quality
qwen3.5:9b
Reasoning
12/20
Coding
3/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak 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