qwen3.5-4b-super-coder
LM-STUDIO GGUFqwen35 · 4B · Q4_0
Oct 24, 2026 · Intel Core™ i3-9100F
mlx-community/Llama-3.2-3B-Instruct-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
83 vs 74
Hardware Fit
96 vs 100
Quality Score
77 vs 63
Hardware
qwen3.5-4b-super-c… mlx-community/Llam…
MachineGigabyte Technology Co., Ltd. H310M S2 2.0MacBook Air
CPUIntel Core™ i3-9100FApple M4
Cores410
RAM16 GB32 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650Apple M4
OSМайкрософт Windows 10 Pro 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5-4b-super-c… mlx-community/Llam…
Tokens/sec15.350.6
First chunk33 ms257 ms
TTFT686 ms257 ms
Load timeN/AN/A
Memory usage3.6 GB0.7 GB
Memory %22%2%
HW Fit Score Breakdown
qwen3.5-4b-super-coder
Speed
46/50
TTFT
20/20
Memory
30/30
mlx-community/Llama-3.2…
Speed
50/50
TTFT
20/20
Memory
30/30
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
mlx-community/Llama-3.2…
Reasoning
9/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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