deepseek-r1-distill-qwen-14b-mlx
LM-STUDIO MLXqwen2 · 14B · 5bit
Mar 11, 2026 · Apple M4
qwen3.8-27b-mlx
LM-STUDIO UNKNOWN27B
Aug 17, 2026 · Apple M5 Max
Global Score
36 vs 66
Hardware Fit
53 vs 91
Quality Score
28 vs 55
Hardware
deepseek-r1-distil… qwen3.8-27b-mlx
MachineMac miniMacBook Pro
CPUApple M4Apple M5 Max
Cores1018
RAM24 GB64 GB
GPUApple M4Apple M5 Max
OSmacOS 26.3macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
deepseek-r1-distil… qwen3.8-27b-mlx
Tokens/sec10.333.2
First chunk27 ms7 ms
TTFT20.7 s311 ms
Load time15.4 sN/A
Memory usage1.0 GB0.5 GB
Memory %4%1%
HW Fit Score Breakdown
deepseek-r1-distill-qwe…
Speed
23/50
TTFT
0/20
Memory
30/30
qwen3.8-27b-mlx
Speed
41/50
TTFT
20/20
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
qwen3.8-27b-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