qwen3.5-4b-mlx
LM-STUDIO MLXqwen3_5 · 4B · 4bit
Mar 3, 2026 · Apple M4
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
71 vs 78
Hardware Fit
88 vs 100
Quality Score
63 vs 68
Hardware
qwen3.5-4b-mlx lfm2-24b-a2b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-4b-mlx lfm2-24b-a2b
Tokens/sec23.1105.9
First chunk3279 ms252 ms
TTFT3.3 s252 ms
Load timeN/AN/A
Memory usage2.9 GB0.1 GB
Memory %9%0%
HW Fit Score Breakdown
qwen3.5-4b-mlx
Speed
45/50
TTFT
13/20
Memory
30/30
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-4b-mlx
Reasoning
15/20
Coding
16/20
Instruction
6/20
Structured
6/15
Math
11/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Weak Structured Output: Weak Math: Adequate 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