qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
qwen2.5-0.5b-instruct-mlx
LM-STUDIO MLXqwen2 · 0.5B · 4bit
Mar 4, 2026 · Apple M4
Global Score
36 vs 52
Hardware Fit
100 vs 100
Quality Score
8 vs 31
Hardware
qwen36-distill-apex qwen2.5-0.5b-instr…
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 qwen2.5-0.5b-instr…
Tokens/sec55.2257.5
First chunk210 ms99 ms
TTFT210 ms99 ms
Load time4.8 sN/A
Memory usage0.9 GB0.3 GB
Memory %2%1%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
qwen2.5-0.5b-instruct-mlx
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
qwen2.5-0.5b-instruct-mlx
Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
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