qwen2.5-coder:0.5b
OLLAMA GGUFqwen2 · 494.03M · Q4_K_M
Nov 13, 2026 · Intel Core™ i5-4590T
qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
59 vs 72
Hardware Fit
100 vs 89
Quality Score
41 vs 64
Hardware
qwen2.5-coder:0.5b qwen3-vl:8b
MachineFUJITSU ESPRIMO Q920HP HP Z8 G4 Workstation
CPUIntel Core™ i5-4590TIntel Xeon® Gold 6230
Cores480
RAM16 GB252 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterTU104GL [Quadro RTX 5000]
OSMicrosoft Windows 10 Pro 10.0.19045Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power
Performance
qwen2.5-coder:0.5b qwen3-vl:8b
Tokens/sec43.768.2
First chunk290 ms285 ms
TTFT290 ms2.0 s
Load time1.4 s42.4 s
Memory usage0.9 GB7.1 GB
Memory %6%3%
HW Fit Score Breakdown
qwen2.5-coder:0.5b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3-vl:8b
Speed
50/50
TTFT
9/20
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
qwen3-vl:8b
Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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