mlx-community/Llama-3.2-1B-Instruct-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
deepseek-r1-distill-qwen-14b-mlx
LM-STUDIO MLXqwen2 · 14B · 5bit
Mar 11, 2026 · Apple M4
Global Score
57 vs 36
Hardware Fit
100 vs 53
Quality Score
39 vs 28
Hardware
mlx-community/Llam… deepseek-r1-distil…
MachineMacBook AirMac mini
CPUApple M4Apple M4
Cores1010
RAM32 GB24 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/Llam… deepseek-r1-distil…
Tokens/sec126.410.3
First chunk139 ms27 ms
TTFT139 ms20.7 s
Load timeN/A15.4 s
Memory usage0.3 GB1.0 GB
Memory %1%4%
HW Fit Score Breakdown
mlx-community/Llama-3.2…
Speed
50/50
TTFT
20/20
Memory
30/30
deepseek-r1-distill-qwe…
Speed
23/50
TTFT
0/20
Memory
30/30
Quality
mlx-community/Llama-3.2…
Reasoning
5/20
Coding
3/20
Instruction
15/20
Structured
10/15
Math
1/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Strong Structured Output: Adequate Math: Poor Multilingual: Adequate
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
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