mistral-nemo:12b
OLLAMA GGUFllama · 12.2B · Q4_0
Mar 1, 2026 · Apple M4
lfm2.5:8b
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
71 vs 80
Hardware Fit
86 vs 95
Quality Score
65 vs 73
Hardware
mistral-nemo:12b lfm2.5:8b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
mistral-nemo:12b lfm2.5:8b
Tokens/sec14.698.5
First chunkN/A167 ms
TTFT371 ms2.5 s
Load time1.0 s3.0 s
Memory usage13.3 GB6.0 GB
Memory %42%37%
HW Fit Score Breakdown
mistral-nemo:12b
Speed
26/50
TTFT
30/20
Memory
30/30
lfm2.5:8b
Speed
50/50
TTFT
17/20
Memory
28/30
Quality
mistral-nemo:12b
Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
lfm2.5:8b
Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong 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