ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
qwen2.5-7b-instruct
LM-STUDIO MLXqwen2 · 7B · 4bit
Mar 3, 2026 · Apple M4
Global Score
79 vs 84
Hardware Fit
98 vs 97
Quality Score
71 vs 78
Hardware
ministral-3:8b qwen2.5-7b-instruct
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 qwen2.5-7b-instruct
Tokens/sec41.424.4
First chunk257 ms464 ms
TTFT257 ms464 ms
Load time5.2 sN/A
Memory usage9.0 GB4.0 GB
Memory %38%13%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
qwen2.5-7b-instruct
Speed
47/50
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
qwen2.5-7b-instruct
Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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