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

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 6, 2026 · AMD RYZEN AI MAX+ 395 w/ Radeon 8060S

Global Score
66 vs 82
Hardware Fit
100 vs 81
Quality Score
52 vs 82

Hardware

hf.co/empero-ai/Qw… qwen3.5:9b
MachineMacBook ProAZW GTR Pro
CPUApple M4AMD RYZEN AI MAX+ 395 w/ Radeon 8060S
Cores1032
RAM16 GB125 GB
GPUApple M4Integrated / Apple Silicon
OSmacOS 26.6.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance

Performance

hf.co/empero-ai/Qw… qwen3.5:9b
Tokens/sec26.530.8
First chunk447 ms195 ms
TTFT447 ms195 ms
Load time3.3 s6.8 s
Memory usage4.8 GB18.8 GB
Memory %30%15%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen3.5:9b

Speed
31/50
TTFT
20/20
Memory
30/30

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

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
11/15
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest