lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
qwen3.6:27b
OLLAMA GGUFqwen35 · 27.8B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
60 vs 20
Hardware Fit
80 vs 34
Quality Score
52 vs 14
Hardware
lfm2.5-thinking:1.2b qwen3.6:27b
MachineMacBook ProMac mini
CPUApple M4 ProApple M4 Pro
Cores1412
RAM48 GB24 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 26.4.1macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5-thinking:1.2b qwen3.6:27b
Tokens/sec227.010.6
First chunk60 ms1344 ms
TTFT30.0 s30.0 s
Load time0.7 s0.2 s
Memory usage2.6 GB18.1 GB
Memory %6%75%
HW Fit Score Breakdown
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
qwen3.6:27b
Speed
22/50
TTFT
0/20
Memory
12/30
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
qwen3.6:27b
Reasoning
2/20
Coding
1/20
Instruction
2/20
Structured
1/15
Math
2/15
Multilingual
6/10
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