qwen3.5-4b-super-coder
LM-STUDIO GGUFqwen35 · 4B · Q4_0
Oct 24, 2026 · Intel Core™ i3-9100F
google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · Q4_K_M
Jul 7, 2026 · AMD Ryzen 7 5800H
Global Score
83 vs 68
Hardware Fit
96 vs 93
Quality Score
77 vs 57
Hardware
qwen3.5-4b-super-c… google/gemma-4-e4b
MachineGigabyte Technology Co., Ltd. H310M S2 2.0LENOVO 82JQ
CPUIntel Core™ i3-9100FAMD Ryzen 7 5800H
Cores416
RAM16 GB16 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650NVIDIA GeForce RTX 3060 Laptop GPU
OSМайкрософт Windows 10 Pro 10.0.19045Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced
Performance
qwen3.5-4b-super-c… google/gemma-4-e4b
Tokens/sec15.326.2
First chunk33 ms17 ms
TTFT686 ms572 ms
Load timeN/AN/A
Memory usage3.6 GB6.5 GB
Memory %22%41%
HW Fit Score Breakdown
qwen3.5-4b-super-coder
Speed
46/50
TTFT
20/20
Memory
30/30
google/gemma-4-e4b
Speed
46/50
TTFT
20/20
Memory
27/30
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
google/gemma-4-e4b
Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
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