ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
llama3.2:3b
OLLAMA GGUFllama · 3.2B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
79 vs 74
Hardware Fit
98 vs 100
Quality Score
71 vs 63
Hardware
ministral-3:8b llama3.2:3b
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 llama3.2:3b
Tokens/sec41.444.1
First chunk257 msN/A
TTFT257 ms178 ms
Load time5.2 s0.8 s
Memory usage9.0 GB7.0 GB
Memory %38%22%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
llama3.2:3b
Speed
40/50
TTFT
30/20
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
llama3.2:3b
Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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