lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
qwen3.5-27b
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
Global Score
60 vs 26
Hardware Fit
80 vs 63
Quality Score
52 vs 10
Hardware
lfm2.5-thinking:1.2b qwen3.5-27b
MachineMacBook ProMac mini
CPUApple M4 ProApple M4 Pro
Cores1414
RAM48 GB64 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 26.4.1macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5-thinking:1.2b qwen3.5-27b
Tokens/sec227.09.5
First chunk60 ms1099 ms
TTFT30.0 s1.1 s
Load time0.7 sN/A
Memory usage2.6 GB16.3 GB
Memory %6%25%
HW Fit Score Breakdown
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
qwen3.5-27b
Speed
13/50
TTFT
20/20
Memory
30/30
Quality
lfm2.5-thinking:1.2b
Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong
qwen3.5-27b
Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
1/15
Multilingual
7/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate
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