qwen3.5:4b-mlx
OLLAMA GGUFnvfp4
Aug 24, 2026 · Apple M2
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
53 vs 81
Hardware Fit
82 vs 95
Quality Score
41 vs 75
Hardware
qwen3.5:4b-mlx qwen3:8b
MachineMac miniASUS
CPUApple M2Intel Core™ i5-14600KF
Cores820
RAM8 GB32 GB
GPUApple M2NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.5.2Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5:4b-mlx qwen3:8b
Tokens/sec24.7108.3
First chunk302 ms169 ms
TTFT7.4 s169 ms
Load time3.2 s1.7 s
Memory usage3.8 GB5.6 GB
Memory %47%18%
HW Fit Score Breakdown
qwen3.5:4b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
qwen3:8b
Speed
50/50
TTFT
20/20
Memory
25/30
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
qwen3:8b
Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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