deepseek-r1-distill-qwen-14b-mlx
LM-STUDIO MLXqwen2 · 14B · 5bit
Mar 11, 2026 · Apple M4
gemma4:12b
OLLAMA GGUFgemma4 · 11.9B · Q4_K_M
Jul 4, 2026 · Apple M2 Pro
Global Score
36 vs 89
Hardware Fit
53 vs 88
Quality Score
28 vs 89
Hardware
deepseek-r1-distil… gemma4:12b
MachineMac miniMacBook Pro
CPUApple M4Apple M2 Pro
Cores1010
RAM24 GB16 GB
GPUApple M4Apple M2 Pro
OSmacOS 26.3macOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
deepseek-r1-distil… gemma4:12b
Tokens/sec10.318.5
First chunk27 ms752 ms
TTFT20.7 s752 ms
Load time15.4 s6.1 s
Memory usage1.0 GB7.5 GB
Memory %4%47%
HW Fit Score Breakdown
deepseek-r1-distill-qwe…
Speed
23/50
TTFT
0/20
Memory
30/30
gemma4:12b
Speed
42/50
TTFT
20/20
Memory
26/30
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
gemma4:12b
Reasoning
17/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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