deepseek-r1-distill-qwen-14b-mlx
LM-STUDIO MLXqwen2 · 14B · 5bit
Mar 11, 2026 · Apple M4
qwen3.5-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Mar 3, 2026 · Apple M4
Global Score
36 vs 75
Hardware Fit
53 vs 54
Quality Score
28 vs 84
Hardware
deepseek-r1-distil… qwen3.5-27b
MachineMac miniMacBook Air
CPUApple M4Apple M4
Cores1010
RAM24 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
deepseek-r1-distil… qwen3.5-27b
Tokens/sec10.36.6
First chunk27 ms4364 ms
TTFT20.7 s4.4 s
Load time15.4 sN/A
Memory usage1.0 GB15.0 GB
Memory %4%47%
HW Fit Score Breakdown
deepseek-r1-distill-qwe…
Speed
23/50
TTFT
0/20
Memory
30/30
qwen3.5-27b
Speed
13/50
TTFT
11/20
Memory
30/30
Quality
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
qwen3.5-27b
Reasoning
17/20
Coding
18/20
Instruction
11/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong 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