qwen2.5-coder:0.5b
OLLAMA GGUFqwen2 · 494.03M · Q4_K_M
Nov 13, 2026 · Intel Core™ i5-4590T
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
59 vs 84
Hardware Fit
100 vs 94
Quality Score
41 vs 80
Hardware
qwen2.5-coder:0.5b qwen3.5:9b
MachineFUJITSU ESPRIMO Q920ASUS
CPUIntel Core™ i5-4590TIntel Core™ i5-14600KF
Cores420
RAM16 GB32 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterNVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 10 Pro 10.0.19045Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
qwen2.5-coder:0.5b qwen3.5:9b
Tokens/sec43.786.3
First chunk290 ms316 ms
TTFT290 ms316 ms
Load time1.4 s0.3 s
Memory usage0.9 GB8.1 GB
Memory %6%25%
HW Fit Score Breakdown
qwen2.5-coder:0.5b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
24/30
Quality
qwen2.5-coder:0.5b
Reasoning
7/20
Coding
8/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
4/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
qwen3.5:9b
Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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