qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
qwen3.8-27b-mlx
LM-STUDIO UNKNOWN27B
Aug 17, 2026 · Apple M5 Max
Global Score
36 vs 66
Hardware Fit
100 vs 91
Quality Score
8 vs 55
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/sec55.233.2
First chunk210 ms7 ms
TTFT210 ms311 ms
Load time4.8 sN/A
Memory usage0.9 GB0.5 GB
Memory %2%1%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.8-27b-mlx
Speed
41/50
TTFT
20/20
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
qwen3.8-27b-mlx
Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
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