qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
qwen3-vl:30b
OLLAMA GGUFqwen3vlmoe · 31.1B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
Global Score
58 vs 80
Hardware Fit
68 vs 98
Quality Score
54 vs 72
Hardware
qwen3.5-9b-mlx qwen3-vl:30b
MachineMac miniASUS
CPUApple M4Intel Core™ Ultra 9 285K
Cores1024
RAM24 GB47 GB
GPUApple M4NVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 26.3Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-9b-mlx qwen3-vl:30b
Tokens/sec16.7208.9
First chunk23 ms102 ms
TTFT14.1 s684 ms
Load timeN/A0.1 s
Memory usage7.8 GB22.0 GB
Memory %33%47%
HW Fit Score Breakdown
qwen3.5-9b-mlx
Speed
36/50
TTFT
3/20
Memory
29/30
qwen3-vl:30b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
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
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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest