qwen3.5-4b-super-coder
LM-STUDIO GGUFqwen35 · 4B · Q4_0
Oct 24, 2026 · Intel Core™ i3-9100F
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
83 vs 81
Hardware Fit
96 vs 95
Quality Score
77 vs 75
Hardware
qwen3.5-4b-super-c… qwen3:8b
MachineGigabyte Technology Co., Ltd. H310M S2 2.0ASUS
CPUIntel Core™ i3-9100FIntel Core™ i5-14600KF
Cores420
RAM16 GB32 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650NVIDIA GeForce RTX 4070 Ti SUPER
OSМайкрософт Windows 10 Pro 10.0.19045Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
qwen3.5-4b-super-c… qwen3:8b
Tokens/sec15.3108.3
First chunk33 ms169 ms
TTFT686 ms169 ms
Load timeN/A1.7 s
Memory usage3.6 GB5.6 GB
Memory %22%18%
HW Fit Score Breakdown
qwen3.5-4b-super-coder
Speed
46/50
TTFT
20/20
Memory
30/30
qwen3:8b
Speed
50/50
TTFT
20/20
Memory
25/30
Quality
qwen3.5-4b-super-coder
Reasoning
16/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
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