ministral-3:3b
OLLAMA GGUFmistral3 · 3.8B · Q4_K_M
Mar 6, 2026 · Apple M4
google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · Q4_K_M
Jul 7, 2026 · AMD Ryzen 7 5800H
Global Score
71 vs 68
Hardware Fit
99 vs 93
Quality Score
59 vs 57
Hardware
ministral-3:3b google/gemma-4-e4b
MachineMacBook AirLENOVO 82JQ
CPUApple M4AMD Ryzen 7 5800H
Cores1016
RAM32 GB16 GB
GPUApple M4NVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.3Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced
Performance
ministral-3:3b google/gemma-4-e4b
Tokens/sec42.226.2
First chunk189 ms17 ms
TTFT189 ms572 ms
Load time1.2 sN/A
Memory usage7.0 GB6.5 GB
Memory %22%41%
HW Fit Score Breakdown
ministral-3:3b
Speed
50/50
TTFT
20/20
Memory
29/30
google/gemma-4-e4b
Speed
46/50
TTFT
20/20
Memory
27/30
Quality
ministral-3:3b
Reasoning
5/20
Coding
16/20
Instruction
11/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Weak Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
google/gemma-4-e4b
Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
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