ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
llama-3.2-1b-instruct
LM-STUDIO GGUFllama · 1B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
Global Score
79 vs 50
Hardware Fit
98 vs 79
Quality Score
71 vs 37
Hardware
ministral-3:8b llama-3.2-1b-instr…
MachineMac miniLENOVO 20BUS00700
CPUApple M4 ProIntel Core™ i5-5300U
Cores124
RAM24 GB16 GB
GPUApple M4 ProIntel(R) HD Graphics 5500
OSmacOS 15.6.1Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
ministral-3:8b llama-3.2-1b-instr…
Tokens/sec41.49.9
First chunk257 ms1668 ms
TTFT257 ms1.7 s
Load time5.2 sN/A
Memory usage9.0 GB0.8 GB
Memory %38%5%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
llama-3.2-1b-instruct
Speed
32/50
TTFT
20/20
Memory
27/30
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
llama-3.2-1b-instruct
Reasoning
4/20
Coding
3/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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