qwen3.5-4b-super-coder
LM-STUDIO GGUFqwen35 · 4B · Q4_0
Oct 24, 2026 · Intel Core™ i3-9100F
qwen2.5:72b
OLLAMA GGUFqwen2 · 72.7B · Q4_K_M
Jun 27, 2026 · Cortex-X925
Global Score
83 vs 75
Hardware Fit
96 vs 50
Quality Score
77 vs 86
Hardware
qwen3.5-4b-super-c… qwen2.5:72b
MachineGigabyte Technology Co., Ltd. H310M S2 2.0NVIDIA NVIDIA_DGX_Spark
CPUIntel Core™ i3-9100FCortex-X925
Cores420
RAM16 GB122 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650Device 2e12
OSМайкрософт Windows 10 Pro 10.0.19045Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance
Performance
qwen3.5-4b-super-c… qwen2.5:72b
Tokens/sec15.34.4
First chunk33 ms529 ms
TTFT686 ms529 ms
Load timeN/A49.7 s
Memory usage3.6 GB54.0 GB
Memory %22%44%
HW Fit Score Breakdown
qwen3.5-4b-super-coder
Speed
46/50
TTFT
20/20
Memory
30/30
qwen2.5:72b
Speed
4/50
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
qwen2.5:72b
Reasoning
19/20
Coding
19/20
Instruction
12/20
Structured
14/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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