qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
gemma4:12b-mlx
OLLAMA GGUFJul 4, 2026 · Apple M2 Pro
Global Score
36 vs 84
Hardware Fit
100 vs 82
Quality Score
8 vs 85
Hardware
qwen36-distill-apex gemma4:12b-mlx
MachineMacBook ProMacBook Pro
CPUApple M5 MaxApple M2 Pro
Cores1810
RAM64 GB16 GB
GPUApple M5 MaxApple M2 Pro
OSmacOS 27.0macOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen36-distill-apex gemma4:12b-mlx
Tokens/sec55.227.2
First chunk210 ms732 ms
TTFT210 ms8.1 s
Load time4.8 s3.5 s
Memory usage0.9 GB7.1 GB
Memory %2%44%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:12b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
Quality
qwen36-distill-apex
Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
gemma4:12b-mlx
Reasoning
16/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong 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