qwen3:14b
OLLAMA GGUFqwen3 · 14.8B · Q4_K_M
Mar 11, 2026 · Apple M4
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
83 vs 78
Hardware Fit
73 vs 100
Quality Score
87 vs 68
Hardware
qwen3:14b lfm2-24b-a2b
MachineMac miniMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM24 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3:14b lfm2-24b-a2b
Tokens/sec11.1105.9
First chunk500 ms252 ms
TTFT500 ms252 ms
Load time7.3 sN/A
Memory usage9.4 GB0.1 GB
Memory %39%0%
HW Fit Score Breakdown
qwen3:14b
Speed
25/50
TTFT
20/20
Memory
28/30
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3:14b
Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
lfm2-24b-a2b
Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong 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