deepseek-r1-distill-qwen-14b-mlx
LM-STUDIO MLXqwen2 · 14B · 5bit
Mar 11, 2026 · Apple M4
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
Global Score
36 vs 53
Hardware Fit
53 vs 72
Quality Score
28 vs 45
Hardware
deepseek-r1-distil… qwen3.5:9b
MachineMac miniMacBook Pro
CPUApple M4Apple M1 Max
Cores1010
RAM24 GB32 GB
GPUApple M4Apple M1 Max
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
deepseek-r1-distil… qwen3.5:9b
Tokens/sec10.318.6
First chunk27 ms403 ms
TTFT20.7 s10.2 s
Load time15.4 s4.3 s
Memory usage1.0 GB9.1 GB
Memory %4%28%
HW Fit Score Breakdown
deepseek-r1-distill-qwe…
Speed
23/50
TTFT
0/20
Memory
30/30
qwen3.5:9b
Speed
38/50
TTFT
4/20
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
qwen3.5:9b
Reasoning
12/20
Coding
3/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Adequate 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