qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 17, 2026 · Apple M5 Max
Global Score
36 vs 59
Hardware Fit
100 vs 63
Quality Score
8 vs 58
Hardware
qwen36-distill-apex qwen3.8-27b-mlx
MachineMacBook ProMacBook Pro
CPUApple M5 MaxApple M5 Max
Cores1818
RAM64 GB64 GB
GPUApple M5 MaxApple M5 Max
OSmacOS 27.0macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen36-distill-apex qwen3.8-27b-mlx
Tokens/sec55.218.3
First chunk210 ms4 ms
TTFT210 ms530 ms
Load time4.8 sN/A
Memory usage0.9 GB38.5 GB
Memory %2%60%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.8-27b-mlx
Speed
23/50
TTFT
20/20
Memory
20/30
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
qwen3.8-27b-mlx
Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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