qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
qwen3.5-27b
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
Global Score
65 vs 26
Hardware Fit
92 vs 63
Quality Score
54 vs 10
Hardware
qwen2.5:1.5b qwen3.5-27b
MachineiMacMac mini
CPUIntel Core™ i7-4771Apple M4 Pro
Cores814
RAM32 GB64 GB
GPUNVIDIA GeForce GTX 780MApple M4 Pro
OSmacOS 15.7.3macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5:1.5b qwen3.5-27b
Tokens/sec19.69.5
First chunk690 ms1099 ms
TTFT690 ms1.1 s
Load time21.4 sN/A
Memory usage1.0 GB16.3 GB
Memory %3%25%
HW Fit Score Breakdown
qwen2.5:1.5b
Speed
42/50
TTFT
20/20
Memory
30/30
qwen3.5-27b
Speed
13/50
TTFT
20/20
Memory
30/30
Quality
qwen2.5:1.5b
Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
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