qwen2.5-coder:0.5b
OLLAMA GGUFqwen2 · 494.03M · Q4_K_M
Nov 13, 2026 · Intel Core™ i5-4590T
qwen3.5:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
59 vs 77
Hardware Fit
100 vs 53
Quality Score
41 vs 87
Hardware
qwen2.5-coder:0.5b qwen3.5:35b
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 qwen3.5:35b
Tokens/sec43.716.0
First chunk290 ms719 ms
TTFT290 ms719 ms
Load time1.4 s17.8 s
Memory usage0.9 GB25.0 GB
Memory %6%79%
HW Fit Score Breakdown
qwen2.5-coder:0.5b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:35b
Speed
23/50
TTFT
20/20
Memory
10/30
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
qwen3.5:35b
Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong 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