ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
llama3.2:1b
OLLAMA GGUFllama · 1.2B · Q8_0
Jun 26, 2026 · Cortex-A78AE
Global Score
79 vs 63
Hardware Fit
98 vs 100
Quality Score
71 vs 47
Hardware
ministral-3:8b llama3.2:1b
MachineMac miniNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUApple M4 ProCortex-A78AE
Cores126
RAM24 GB7 GB
GPUApple M4 ProIntegrated / Unknown
OSmacOS 15.6.1Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced
Performance
ministral-3:8b llama3.2:1b
Tokens/sec41.440.2
First chunk257 ms1087 ms
TTFT257 ms1.1 s
Load time5.2 s6.2 s
Memory usage9.0 GB1.4 GB
Memory %38%19%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
llama3.2:1b
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
llama3.2:1b
Reasoning
4/20
Coding
9/20
Instruction
14/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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