qwen3.5-4b-super-coder
LM-STUDIO GGUFqwen35 · 4B · Q4_0
Oct 24, 2026 · Intel Core™ i3-9100F
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
83 vs 78
Hardware Fit
96 vs 100
Quality Score
77 vs 68
Hardware
qwen3.5-4b-super-c… lfm2-24b-a2b
MachineGigabyte Technology Co., Ltd. H310M S2 2.0Mac mini
CPUIntel Core™ i3-9100FApple M4 Pro
Cores414
RAM16 GB64 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650Apple M4 Pro
OSМайкрософт Windows 10 Pro 10.0.19045macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5-4b-super-c… lfm2-24b-a2b
Tokens/sec15.3105.9
First chunk33 ms252 ms
TTFT686 ms252 ms
Load timeN/AN/A
Memory usage3.6 GB0.1 GB
Memory %22%0%
HW Fit Score Breakdown
qwen3.5-4b-super-coder
Speed
46/50
TTFT
20/20
Memory
30/30
lfm2-24b-a2b
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
lfm2-24b-a2b
Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate 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