mistral:7b
OLLAMA GGUFllama · 7.2B · Q4_K_M
Mar 2, 2026 · Apple M4
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
95 vs 80
Quality Score
62 vs 52
Hardware
mistral:7b lfm2.5-thinking:1.2b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB48 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced
Performance
mistral:7b lfm2.5-thinking:1.2b
Tokens/sec22.0227.0
First chunkN/A60 ms
TTFT261 ms30.0 s
Load time0.7 s0.7 s
Memory usage10.1 GB2.6 GB
Memory %32%6%
HW Fit Score Breakdown
mistral:7b
Speed
35/50
TTFT
30/20
Memory
30/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
mistral:7b
Reasoning
8/20
Coding
12/20
Instruction
15/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong 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