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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-mlx

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Marginal

Mar 11, 2026 · Apple M4

Global Score
80 vs 58
Hardware Fit
98 vs 68
Quality Score
72 vs 54

Hardware

qwen3-vl:30b qwen3.5-9b-mlx
MachineASUSMac mini
CPUIntel Core™ Ultra 9 285KApple M4
Cores2410
RAM47 GB24 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M4
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-vl:30b qwen3.5-9b-mlx
Tokens/sec208.916.7
First chunk102 ms23 ms
TTFT684 ms14.1 s
Load time0.1 sN/A
Memory usage22.0 GB7.8 GB
Memory %47%33%

HW Fit Score Breakdown

qwen3-vl:30b

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

qwen3.5-9b-mlx

Speed
36/50
TTFT
3/20
Memory
29/30

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-mlx

Reasoning
10/20
Coding
16/20
Instruction
4/20
Structured
9/15
Math
10/15
Multilingual
5/10
Reasoning: Adequate Coding: Strong Instruction Following: Poor Structured Output: Adequate Math: Adequate Multilingual: Adequate
View qwen3-vl:30b details | View qwen3.5-9b-mlx 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