mistral:latest
OLLAMA GGUFllama · 7.2B · Q4_0
Feb 28, 2026 · Apple M4 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
100 vs 80
Quality Score
60 vs 52
Hardware
mistral:latest lfm2.5-thinking:1.2b
MachineMac MiniMacBook Pro
CPUApple M4 ProApple M4 Pro
Cores1414
RAM64 GB48 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.7.4macOS 26.4.1
Archarm64arm64
Power Modeunknownbalanced
Performance
mistral:latest lfm2.5-thinking:1.2b
Tokens/sec54.3227.0
First chunkN/A60 ms
TTFT124 ms30.0 s
Load time0.0 s0.7 s
Memory usage9.9 GB2.6 GB
Memory %15%6%
HW Fit Score Breakdown
mistral:latest
Speed
40/50
TTFT
30/20
Memory
30/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
mistral:latest
Reasoning
8/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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