lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
qwen3.5:35b-a3b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
Global Score
78 vs 59
Hardware Fit
100 vs 69
Quality Score
68 vs 54
Hardware
lfm2-24b-a2b qwen3.5:35b-a3b
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4 Pro
Cores1414
RAM64 GB48 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.7.4macOS 26.3.1
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2-24b-a2b qwen3.5:35b-a3b
Tokens/sec105.930.5
First chunk252 ms333 ms
TTFT252 ms30.0 s
Load timeN/A9.8 s
Memory usage0.1 GB25.1 GB
Memory %0%52%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:35b-a3b
Speed
45/50
TTFT
0/20
Memory
24/30
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
qwen3.5:35b-a3b
Reasoning
18/20
Coding
1/20
Instruction
7/20
Structured
6/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Strong 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