qwen3.5:4b-mlx
OLLAMA GGUFnvfp4
Aug 24, 2026 · Apple M2
qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
53 vs 72
Hardware Fit
82 vs 89
Quality Score
41 vs 64
Hardware
qwen3.5:4b-mlx qwen3-vl:8b
MachineMac miniHP HP Z8 G4 Workstation
CPUApple M2Intel Xeon® Gold 6230
Cores880
RAM8 GB252 GB
GPUApple M2TU104GL [Quadro RTX 5000]
OSmacOS 26.5.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
qwen3.5:4b-mlx qwen3-vl:8b
Tokens/sec24.768.2
First chunk302 ms285 ms
TTFT7.4 s2.0 s
Load time3.2 s42.4 s
Memory usage3.8 GB7.1 GB
Memory %47%3%
HW Fit Score Breakdown
qwen3.5:4b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
qwen3-vl:8b
Speed
50/50
TTFT
9/20
Memory
30/30
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:8b
Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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