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qwen3.5-4b-super-coder

LM-STUDIO GGUF

qwen35 · 4B · Q4_0

Excellent

Oct 24, 2026 · Intel Core™ i3-9100F

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
83 vs 83
Hardware Fit
96 vs 96
Quality Score
77 vs 78

Hardware

qwen3.5-4b-super-c… google/gemma-4-e4b
MachineGigabyte Technology Co., Ltd. H310M S2 2.0ASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Core™ i3-9100FAMD Ryzen 9 8940HX
Cores432
RAM16 GB15 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSМайкрософт Windows 10 Pro 10.0.19045Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

qwen3.5-4b-super-c… google/gemma-4-e4b
Tokens/sec15.335.9
First chunk33 ms9 ms
TTFT686 ms182 ms
Load timeN/AN/A
Memory usage3.6 GB6.5 GB
Memory %22%43%

HW Fit Score Breakdown

qwen3.5-4b-super-coder

Speed
46/50
TTFT
20/20
Memory
30/30

google/gemma-4-e4b

Speed
49/50
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
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.5-4b-super-c… details | View google/gemma-4-e4b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest