ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
79 vs 66
Hardware Fit
98 vs 100
Quality Score
71 vs 52
Hardware
ministral-3:8b hf.co/empero-ai/Qw…
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4
Cores1210
RAM24 GB16 GB
GPUApple M4 ProApple M4
OSmacOS 15.6.1macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
ministral-3:8b hf.co/empero-ai/Qw…
Tokens/sec41.426.5
First chunk257 ms447 ms
TTFT257 ms447 ms
Load time5.2 s3.3 s
Memory usage9.0 GB4.8 GB
Memory %38%30%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
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
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