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qwen3.5-4b-super-coder

LM-STUDIO GGUF

qwen35 · 4B · Q4_0

Excellent

Oct 24, 2026 · Intel Core™ i3-9100F

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
83 vs 81
Hardware Fit
96 vs 96
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/sec15.3109.1
First chunk33 ms190 ms
TTFT686 ms190 ms
Load timeN/A4.3 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
26/30

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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest