deepseek-r1-distill-qwen-14b-mlx
LM-STUDIO MLXqwen2 · 14B · 5bit
Mar 11, 2026 · Apple M4
mistral:latest
OLLAMA GGUFllama · 7.2B · Q4_0
Feb 28, 2026 · Apple M4 Pro
Global Score
36 vs 72
Hardware Fit
53 vs 100
Quality Score
28 vs 60
Hardware
deepseek-r1-distil… mistral:latest
MachineMac miniMac Mini
CPUApple M4Apple M4 Pro
Cores1014
RAM24 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedunknown
Performance
deepseek-r1-distil… mistral:latest
Tokens/sec10.354.3
First chunk27 msN/A
TTFT20.7 s124 ms
Load time15.4 s0.0 s
Memory usage1.0 GB9.9 GB
Memory %4%15%
HW Fit Score Breakdown
deepseek-r1-distill-qwe…
Speed
23/50
TTFT
0/20
Memory
30/30
mistral:latest
Speed
40/50
TTFT
30/20
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
mistral:latest
Reasoning
8/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong 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