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

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

Global Score
66 vs 79
Hardware Fit
100 vs 98
Quality Score
52 vs 71

Hardware

hf.co/empero-ai/Qw… ministral-3:8b
MachineMacBook ProMac mini
CPUApple M4Apple M4 Pro
Cores1012
RAM16 GB24 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.6.1macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… ministral-3:8b
Tokens/sec26.541.4
First chunk447 ms257 ms
TTFT447 ms257 ms
Load time3.3 s5.2 s
Memory usage4.8 GB9.0 GB
Memory %30%38%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

ministral-3:8b

Speed
50/50
TTFT
20/20
Memory
28/30

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

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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