qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
google/gemma-3-4b
LM-STUDIO MLXgemma3 · 4B · 4bit
Mar 3, 2026 · Apple M4
Global Score
36 vs 76
Hardware Fit
100 vs 100
Quality Score
8 vs 66
Hardware
qwen36-distill-apex google/gemma-3-4b
MachineMacBook ProMacBook Air
CPUApple M5 MaxApple M4
Cores1810
RAM64 GB32 GB
GPUApple M5 MaxApple M4
OSmacOS 27.0macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen36-distill-apex google/gemma-3-4b
Tokens/sec55.239.4
First chunk210 ms468 ms
TTFT210 ms468 ms
Load time4.8 sN/A
Memory usage0.9 GB2.8 GB
Memory %2%9%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
google/gemma-3-4b
Speed
50/50
TTFT
20/20
Memory
30/30
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
google/gemma-3-4b
Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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