qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 6, 2026 · Apple M4 Pro
Global Score
36 vs 53
Hardware Fit
100 vs 89
Quality Score
8 vs 38
Hardware
qwen36-distill-apex qwen3.5-0.8b-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 qwen3.5-0.8b-mlx
Tokens/sec55.252.9
First chunk210 ms4013 ms
TTFT210 ms4.0 s
Load time4.8 sN/A
Memory usage0.9 GB0.6 GB
Memory %2%1%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
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
qwen3.5-0.8b-mlx
Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
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