qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
qwen3.5-4b-mlx
LM-STUDIO MLXqwen3_5 · 4B · 4bit
Mar 6, 2026 · Apple M4 Pro
Global Score
36 vs 62
Hardware Fit
100 vs 35
Quality Score
8 vs 73
Hardware
qwen36-distill-apex qwen3.5-4b-mlx
MachineMacBook ProMac mini
CPUApple M5 MaxApple M4 Pro
Cores1814
RAM64 GB64 GB
GPUApple M5 MaxApple M4 Pro
OSmacOS 27.0macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen36-distill-apex qwen3.5-4b-mlx
Tokens/sec55.20.0
First chunk210 ms5548 ms
TTFT210 ms5.5 s
Load time4.8 sN/A
Memory usage0.9 GB2.9 GB
Memory %2%5%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5-4b-mlx
Speed
0/50
TTFT
6/20
Memory
29/30
Quality
qwen36-distill-apex
Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
qwen3.5-4b-mlx
Reasoning
17/20
Coding
17/20
Instruction
9/20
Structured
8/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Weak 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