aya:8b
OLLAMA GGUFcommand-r · 8.0B · F16
Mar 1, 2026 · Apple M4
granite4.2:3b
OLLAMA GGUFgranite · 3.7B · Q4_K_M
Aug 29, 2026 · Apple M1 Pro
Global Score
66 vs 80
Hardware Fit
92 vs 80
Quality Score
55 vs 80
Hardware
aya:8b granite4.2:3b
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
aya:8b granite4.2:3b
Tokens/sec20.046.8
First chunkN/A135 ms
TTFT300 ms135 ms
Load time0.9 s0.0 s
Memory usage6.0 GB12.7 GB
Memory %19%79%
HW Fit Score Breakdown
aya:8b
Speed
32/50
TTFT
30/20
Memory
30/30
granite4.2:3b
Speed
50/50
TTFT
20/20
Memory
10/30
Quality
aya:8b
Reasoning
10/20
Coding
6/20
Instruction
13/20
Structured
15/15
Math
2/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
granite4.2:3b
Reasoning
18/20
Coding
13/20
Instruction
12/20
Structured
15/15
Math
14/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate 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