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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Excellent

Mar 11, 2026 · Apple M4

Global Score
71 vs 83
Hardware Fit
56 vs 73
Quality Score
78 vs 87

Hardware

qwen3.5:9b qwen3:14b
MachineSystem manufacturerMac mini
CPUAMD Ryzen 5 5500Apple M4
Cores1210
RAM16 GB24 GB
GPUNVIDIA GeForce RTX 3060Apple M4
OSMicrosoft Windows 11 IoT Enterprise LTSC 10.0.26100macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b qwen3:14b
Tokens/sec5.311.1
First chunk1624 ms500 ms
TTFT1.6 s500 ms
Load time4.0 s7.3 s
Memory usage7.9 GB9.4 GB
Memory %50%39%

HW Fit Score Breakdown

qwen3.5:9b

Speed
11/50
TTFT
20/20
Memory
25/30

qwen3:14b

Speed
25/50
TTFT
20/20
Memory
28/30

Quality

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3:14b

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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest