qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
maternion/ling-3.0-tiny:8b
OLLAMA GGUFbailingmoe3 · 7.9B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
Global Score
36 vs 88
Hardware Fit
100 vs 98
Quality Score
8 vs 83
Hardware
qwen36-distill-apex maternion/ling-3.0…
MachineMacBook ProMacBook Pro
CPUApple M5 MaxApple M1 Pro
Cores1810
RAM64 GB16 GB
GPUApple M5 MaxApple M1 Pro
OSmacOS 27.0macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen36-distill-apex maternion/ling-3.0…
Tokens/sec55.273.0
First chunk210 ms175 ms
TTFT210 ms175 ms
Load time4.8 s3.2 s
Memory usage0.9 GB5.9 GB
Memory %2%37%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
maternion/ling-3.0-tiny…
Speed
50/50
TTFT
20/20
Memory
28/30
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
maternion/ling-3.0-tiny…
Reasoning
16/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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