lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
qwen3.5-9b
LM-STUDIO GGUFqwen35 · 9B · Q4_K_S
Mar 12, 2026 · Apple M4 Pro
Global Score
78 vs 84
Hardware Fit
100 vs 91
Quality Score
68 vs 81
Hardware
lfm2-24b-a2b qwen3.5-9b
MachineMac miniMac mini
CPUApple M4 ProApple M4 Pro
Cores1414
RAM64 GB64 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.7.4macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2-24b-a2b qwen3.5-9b
Tokens/sec105.930.2
First chunk252 ms499 ms
TTFT252 ms499 ms
Load timeN/AN/A
Memory usage0.1 GB6.7 GB
Memory %0%11%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5-9b
Speed
41/50
TTFT
20/20
Memory
30/30
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
16/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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