mlx-community/Llama-3.2-3B-Instruct-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
74 vs 69
Hardware Fit
100 vs 95
Quality Score
63 vs 58
Hardware
mlx-community/Llam… ornith-1.5:9b
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
mlx-community/Llam… ornith-1.5:9b
Tokens/sec50.622.2
First chunk257 ms341 ms
TTFT257 ms341 ms
Load timeN/A4.8 s
Memory usage0.7 GB7.1 GB
Memory %2%45%
HW Fit Score Breakdown
mlx-community/Llama-3.2…
Speed
50/50
TTFT
20/20
Memory
30/30
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
Quality
mlx-community/Llama-3.2…
Reasoning
9/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
ornith-1.5:9b
Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
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