qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
deepseek-r1-distill-qwen-14b-mlx
LM-STUDIO MLXqwen2 · 14B · 5bit
Mar 11, 2026 · Apple M4
Global Score
36 vs 36
Hardware Fit
100 vs 53
Quality Score
8 vs 28
Hardware
qwen36-distill-apex deepseek-r1-distil…
MachineMacBook ProMac mini
CPUApple M5 MaxApple M4
Cores1810
RAM64 GB24 GB
GPUApple M5 MaxApple M4
OSmacOS 27.0macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen36-distill-apex deepseek-r1-distil…
Tokens/sec55.210.3
First chunk210 ms27 ms
TTFT210 ms20.7 s
Load time4.8 s15.4 s
Memory usage0.9 GB1.0 GB
Memory %2%4%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
deepseek-r1-distill-qwe…
Speed
23/50
TTFT
0/20
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
deepseek-r1-distill-qwe…
Reasoning
3/20
Coding
6/20
Instruction
6/20
Structured
3/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Poor 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