ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
mlx-community/quantized-gemma-2b-it
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
79 vs 45
Hardware Fit
98 vs 100
Quality Score
71 vs 21
Hardware
ministral-3:8b mlx-community/quan…
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1210
RAM24 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.6.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
ministral-3:8b mlx-community/quan…
Tokens/sec41.444.4
First chunk257 ms336 ms
TTFT257 ms336 ms
Load time5.2 sN/A
Memory usage9.0 GB0.1 GB
Memory %38%0%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
mlx-community/quantized…
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
mlx-community/quantized…
Reasoning
4/20
Coding
1/20
Instruction
9/20
Structured
4/15
Math
2/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor 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