qwen3.5-9b
LM-STUDIO GGUFqwen35 · 9B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
72 vs 78
Hardware Fit
89 vs 100
Quality Score
65 vs 68
Hardware
qwen3.5-9b lfm2-24b-a2b
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
qwen3.5-9b lfm2-24b-a2b
Tokens/sec28.9105.9
First chunk338 ms252 ms
TTFT338 ms252 ms
Load timeN/AN/A
Memory usage6.1 GB0.1 GB
Memory %10%0%
HW Fit Score Breakdown
qwen3.5-9b
Speed
39/50
TTFT
20/20
Memory
30/30
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-9b
Reasoning
17/20
Coding
15/20
Instruction
6/20
Structured
7/15
Math
12/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak 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