qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
65 vs 81
Hardware Fit
92 vs 96
Quality Score
54 vs 75
Hardware
qwen2.5:1.5b qwen3:8b
MachineiMacASUS
CPUIntel Core™ i7-4771Intel Core™ i5-14600KF
Cores820
RAM32 GB32 GB
GPUNVIDIA GeForce GTX 780MNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 15.7.3Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
qwen2.5:1.5b qwen3:8b
Tokens/sec19.6109.1
First chunk690 ms190 ms
TTFT690 ms190 ms
Load time21.4 s4.3 s
Memory usage1.0 GB5.6 GB
Memory %3%18%
HW Fit Score Breakdown
qwen2.5:1.5b
Speed
42/50
TTFT
20/20
Memory
30/30
qwen3:8b
Speed
50/50
TTFT
20/20
Memory
26/30
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
qwen3:8b
Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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