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qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4 Pro

qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

Global Score
72 vs 80
Hardware Fit
89 vs 98
Quality Score
65 vs 72

Hardware

qwen3.5-9b qwen3-vl:30b
MachineMac miniASUS
CPUApple M4 ProIntel Core™ Ultra 9 285K
Cores1424
RAM64 GB47 GB
GPUApple M4 ProNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 15.7.4Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5-9b qwen3-vl:30b
Tokens/sec28.9208.9
First chunk338 ms102 ms
TTFT338 ms684 ms
Load timeN/A0.1 s
Memory usage6.1 GB22.0 GB
Memory %10%47%

HW Fit Score Breakdown

qwen3.5-9b

Speed
39/50
TTFT
20/20
Memory
30/30

qwen3-vl:30b

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

Quality

qwen3.5-9b

Reasoning
17/20
Coding
15/20
Instruction
6/20
Structured
7/15
Math
12/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Strong

qwen3-vl:30b

Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5-9b details | View qwen3-vl:30b details

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