qwen2.5-coder:0.5b
OLLAMA GGUFqwen2 · 494.03M · Q4_K_M
Nov 13, 2026 · Intel Core™ i5-4590T
gemma4:12b-fast
OLLAMA GGUFgemma4 · 11.9B · Q4_K_M
Nov 13, 2026 · Intel Gen Intel® Core™ i7-12700
Global Score
59 vs 85
Hardware Fit
100 vs 80
Quality Score
41 vs 87
Hardware
qwen2.5-coder:0.5b gemma4:12b-fast
MachineFUJITSU ESPRIMO Q920ASUS
CPUIntel Core™ i5-4590TIntel Gen Intel® Core™ i7-12700
Cores420
RAM16 GB30 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterAlder Lake-S GT1 [UHD Graphics 770], NVIDIA GeForce RTX 3060
OSMicrosoft Windows 10 Pro 10.0.19045Ubuntu 26.04.1 LTS
Archx64x64
Power Modebalancedlow-power
Performance
qwen2.5-coder:0.5b gemma4:12b-fast
Tokens/sec43.775.9
First chunk290 ms169 ms
TTFT290 ms30.0 s
Load time1.4 s8.4 s
Memory usage0.9 GB1.3 GB
Memory %6%5%
HW Fit Score Breakdown
qwen2.5-coder:0.5b
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:12b-fast
Speed
50/50
TTFT
0/20
Memory
30/30
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
gemma4:12b-fast
Reasoning
18/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong 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