qwen3.5:4b
OLLAMA GGUFqwen35 · 4.7B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
83 vs 18
Hardware Fit
100 vs 59
Quality Score
76 vs 0
Hardware
qwen3.5:4b lfm2-24b-a2b
MachineMacBook ProMac mini
CPUApple M1 MaxApple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M1 MaxApple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:4b lfm2-24b-a2b
Tokens/sec32.46.6
First chunk306 ms1025 ms
TTFT306 ms1.0 s
Load time2.7 sN/A
Memory usage6.5 GB0.0 GB
Memory %20%0%
HW Fit Score Breakdown
qwen3.5:4b
Speed
50/50
TTFT
20/20
Memory
30/30
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:4b
Reasoning
16/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
lfm2-24b-a2b
Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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