lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
60 vs 79
Hardware Fit
80 vs 98
Quality Score
52 vs 71
Hardware
lfm2.5-thinking:1.2b ministral-3:8b
MachineMacBook ProMac mini
CPUApple M4 ProApple M4 Pro
Cores1412
RAM48 GB24 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 26.4.1macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5-thinking:1.2b ministral-3:8b
Tokens/sec227.041.4
First chunk60 ms257 ms
TTFT30.0 s257 ms
Load time0.7 s5.2 s
Memory usage2.6 GB9.0 GB
Memory %6%38%
HW Fit Score Breakdown
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
lfm2.5-thinking:1.2b
Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong
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
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