qwen3.5-4b-super-coder
LM-STUDIO GGUFqwen35 · 4B · Q4_0
Oct 24, 2026 · Intel Core™ i3-9100F
gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
Global Score
83 vs 78
Hardware Fit
96 vs 72
Quality Score
77 vs 81
Hardware
qwen3.5-4b-super-c… gemma4:e4b-mlx
MachineGigabyte Technology Co., Ltd. H310M S2 2.0MacBook Pro
CPUIntel Core™ i3-9100FApple M2 Pro
Cores410
RAM16 GB16 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650Apple M2 Pro
OSМайкрософт Windows 10 Pro 10.0.19045macOS 26.5
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5-4b-super-c… gemma4:e4b-mlx
Tokens/sec15.326.9
First chunk33 ms222 ms
TTFT686 ms222 ms
Load timeN/A0.1 s
Memory usage3.6 GB15.4 GB
Memory %22%96%
HW Fit Score Breakdown
qwen3.5-4b-super-coder
Speed
46/50
TTFT
20/20
Memory
30/30
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
2/30
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
gemma4:e4b-mlx
Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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