qwen3.6:27b
OLLAMA GGUFqwen35 · 27.8B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
20 vs 60
Hardware Fit
34 vs 80
Quality Score
14 vs 52
Hardware
qwen3.6:27b lfm2.5-thinking:1.2b
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4 Pro
Cores1214
RAM24 GB48 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.6.1macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.6:27b lfm2.5-thinking:1.2b
Tokens/sec10.6227.0
First chunk1344 ms60 ms
TTFT30.0 s30.0 s
Load time0.2 s0.7 s
Memory usage18.1 GB2.6 GB
Memory %75%6%
HW Fit Score Breakdown
qwen3.6:27b
Speed
22/50
TTFT
0/20
Memory
12/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
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
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
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