qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
mlx-community/Yi-1.5-6B-Chat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
36 vs 73
Hardware Fit
100 vs 100
Quality Score
8 vs 62
Hardware
qwen36-distill-apex mlx-community/Yi-1…
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 mlx-community/Yi-1…
Tokens/sec55.229.1
First chunk210 ms451 ms
TTFT210 ms451 ms
Load time4.8 sN/A
Memory usage0.9 GB0.9 GB
Memory %2%3%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
mlx-community/Yi-1.5-6B…
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
mlx-community/Yi-1.5-6B…
Reasoning
10/20
Coding
11/20
Instruction
13/20
Structured
13/15
Math
9/15
Multilingual
6/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Adequate
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