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qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

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

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4 Pro

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

Hardware

qwen3-vl:30b qwen3.5-9b
MachineASUSMac mini
CPUIntel Core™ Ultra 9 285KApple M4 Pro
Cores2414
RAM47 GB64 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-vl:30b qwen3.5-9b
Tokens/sec208.928.9
First chunk102 ms338 ms
TTFT684 ms338 ms
Load time0.1 sN/A
Memory usage22.0 GB6.1 GB
Memory %47%10%

HW Fit Score Breakdown

qwen3-vl:30b

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

qwen3.5-9b

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

Quality

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

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
View qwen3-vl:30b 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