lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · AMD Ryzen 5 5500
Global Score
78 vs 71
Hardware Fit
100 vs 56
Quality Score
68 vs 78
Hardware
lfm2-24b-a2b qwen3.5:9b
MachineMac miniSystem manufacturer
CPUApple M4 ProAMD Ryzen 5 5500
Cores1412
RAM64 GB16 GB
GPUApple M4 ProNVIDIA GeForce RTX 3060
OSmacOS 15.7.4Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100
Archarm64x64
Power Modebalancedbalanced
Performance
lfm2-24b-a2b qwen3.5:9b
Tokens/sec105.95.3
First chunk252 ms1624 ms
TTFT252 ms1.6 s
Load timeN/A4.0 s
Memory usage0.1 GB7.9 GB
Memory %0%50%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:9b
Speed
11/50
TTFT
20/20
Memory
25/30
Quality
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
qwen3.5:9b
Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong 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