ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Mar 6, 2026 · Apple M4
gemma3:1b
OLLAMA GGUFgemma3 · 999.89M · Q4_K_M
Jun 25, 2026 · Cortex-A78AE
Global Score
76 vs 57
Hardware Fit
89 vs 100
Quality Score
71 vs 39
Hardware
ministral-3:8b gemma3:1b
MachineMacBook AirNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUApple M4Cortex-A78AE
Cores106
RAM32 GB7 GB
GPUApple M4Integrated / Unknown
OSmacOS 26.3Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced
Performance
ministral-3:8b gemma3:1b
Tokens/sec19.533.7
First chunk328 ms2039 ms
TTFT328 ms2.0 s
Load time1.5 s7.3 s
Memory usage10.6 GB0.8 GB
Memory %33%11%
HW Fit Score Breakdown
ministral-3:8b
Speed
39/50
TTFT
20/20
Memory
30/30
gemma3:1b
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
gemma3:1b
Reasoning
6/20
Coding
3/20
Instruction
14/20
Structured
8/15
Math
1/15
Multilingual
7/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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