ministral-3:3b
OLLAMA GGUFmistral3 · 3.8B · Q4_K_M
Mar 6, 2026 · Apple M4
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
71 vs 78
Hardware Fit
99 vs 100
Quality Score
59 vs 68
Hardware
ministral-3:3b lfm2-24b-a2b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
ministral-3:3b lfm2-24b-a2b
Tokens/sec42.2105.9
First chunk189 ms252 ms
TTFT189 ms252 ms
Load time1.2 sN/A
Memory usage7.0 GB0.1 GB
Memory %22%0%
HW Fit Score Breakdown
ministral-3:3b
Speed
50/50
TTFT
20/20
Memory
29/30
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
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
lfm2-24b-a2b
Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate 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