llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
72 vs 60
Hardware Fit
77 vs 80
Quality Score
70 vs 52
Hardware
llama3.1:8b lfm2.5-thinking:1.2b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4 Pro
Cores1014
RAM16 GB48 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 26.6.2macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced
Performance
llama3.1:8b lfm2.5-thinking:1.2b
Tokens/sec21.5227.0
First chunk368 ms60 ms
TTFT368 ms30.0 s
Load time6.9 s0.7 s
Memory usage12.9 GB2.6 GB
Memory %81%6%
HW Fit Score Breakdown
llama3.1:8b
Speed
47/50
TTFT
20/20
Memory
10/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
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
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