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qwen3.5-4b-super-coder

LM-STUDIO GGUF

qwen35 · 4B · Q4_0

Excellent

Oct 24, 2026 · Intel Core™ i3-9100F

liquid/lfm2-24b-a2b

LM-STUDIO MLX

lfm2_moe · 24B · 4bit

Good

Apr 1, 2026 · Apple M4

Global Score
83 vs 74
Hardware Fit
96 vs 84
Quality Score
77 vs 69

Hardware

qwen3.5-4b-super-c… liquid/lfm2-24b-a2b
MachineGigabyte Technology Co., Ltd. H310M S2 2.0Mac mini
CPUIntel Core™ i3-9100FApple M4
Cores410
RAM16 GB24 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… liquid/lfm2-24b-a2b
Tokens/sec15.351.8
First chunk33 ms10 ms
TTFT686 ms503 ms
Load timeN/AN/A
Memory usage3.6 GB17.5 GB
Memory %22%73%

HW Fit Score Breakdown

qwen3.5-4b-super-coder

Speed
46/50
TTFT
20/20
Memory
30/30

liquid/lfm2-24b-a2b

Speed
50/50
TTFT
20/20
Memory
14/30

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

liquid/lfm2-24b-a2b

Reasoning
11/20
Coding
12/20
Instruction
16/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate 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