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qwen3-vl-4b-instruct

LM-STUDIO GGUF

qwen3vl · 4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

Global Score
87 vs 71
Hardware Fit
100 vs 56
Quality Score
81 vs 78

Hardware

qwen3-vl-4b-instruct qwen3.5:9b
MachineMac StudioSystem manufacturer
CPUApple M2 MaxAMD Ryzen 5 5500
Cores1212
RAM96 GB16 GB
GPUApple M2 MaxNVIDIA GeForce RTX 3060
OSmacOS 26.1Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3-vl-4b-instruct qwen3.5:9b
Tokens/sec72.05.3
First chunk7 ms1624 ms
TTFT176 ms1.6 s
Load time6.7 s4.0 s
Memory usage0.0 GB7.9 GB
Memory %0%50%

HW Fit Score Breakdown

qwen3-vl-4b-instruct

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

qwen3.5:9b

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

Quality

qwen3-vl-4b-instruct

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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
View qwen3-vl-4b-instruct details | View qwen3.5:9b 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