Back to leaderboard

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

Global Score
66 vs 61
Hardware Fit
100 vs 69
Quality Score
52 vs 58

Hardware

hf.co/empero-ai/Qw… qwen3.5:4b
MachineMacBook ProGigabyte Technology Co., Ltd. H170M-D3H
CPUApple M4Intel Core™ i5-6500
Cores104
RAM16 GB16 GB
GPUApple M4GP104 [GeForce GTX 1070]
OSmacOS 26.6.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

hf.co/empero-ai/Qw… qwen3.5:4b
Tokens/sec26.535.7
First chunk447 ms438 ms
TTFT447 ms5.1 s
Load time3.3 s40.1 s
Memory usage4.8 GB5.5 GB
Memory %30%35%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen3.5:4b

Speed
50/50
TTFT
11/20
Memory
8/30

Quality

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

qwen3.5:4b

Reasoning
18/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong 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