qwen3.5:4b-mlx
OLLAMA GGUFnvfp4
Aug 24, 2026 · Apple M2
qwen3-vl:30b
OLLAMA GGUFqwen3vlmoe · 31.1B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
Global Score
53 vs 80
Hardware Fit
82 vs 98
Quality Score
41 vs 72
Hardware
qwen3.5:4b-mlx qwen3-vl:30b
MachineMac miniASUS
CPUApple M2Intel Core™ Ultra 9 285K
Cores824
RAM8 GB47 GB
GPUApple M2NVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 26.5.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5:4b-mlx qwen3-vl:30b
Tokens/sec24.7208.9
First chunk302 ms102 ms
TTFT7.4 s684 ms
Load time3.2 s0.1 s
Memory usage3.8 GB22.0 GB
Memory %47%47%
HW Fit Score Breakdown
qwen3.5:4b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
qwen3-vl:30b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
qwen3.5:4b-mlx
Reasoning
13/20
Coding
2/20
Instruction
4/20
Structured
4/15
Math
10/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Adequate 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
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