qwen3.5:27b
OLLAMA GGUFqwen35 · 27.8B · Q4_K_M
Mar 10, 2026 · Apple M4
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
66 vs 60
Hardware Fit
34 vs 80
Quality Score
80 vs 52
Hardware
qwen3.5:27b lfm2.5-thinking:1.2b
MachineMac miniMacBook Pro
CPUApple M4Apple M4 Pro
Cores1014
RAM24 GB48 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:27b lfm2.5-thinking:1.2b
Tokens/sec4.0227.0
First chunk1655 ms60 ms
TTFT1.7 s30.0 s
Load time12.9 s0.7 s
Memory usage21.3 GB2.6 GB
Memory %89%6%
HW Fit Score Breakdown
qwen3.5:27b
Speed
8/50
TTFT
20/20
Memory
6/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
qwen3.5:27b
Reasoning
16/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Strong Multilingual: Strong
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