qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
adityakale/kotakneo
OLLAMA GGUFAug 5, 2026 · AMD RYZEN AI MAX+ 395
Global Score
36 vs 77
Hardware Fit
100 vs 100
Quality Score
8 vs 67
Hardware
qwen36-distill-apex adityakale/kotakneo
MachineMacBook ProAZW GTR Pro
CPUApple M5 MaxAMD RYZEN AI MAX+ 395
Cores1832
RAM64 GB125 GB
GPUApple M5 MaxRadeon 8060S
OSmacOS 27.0Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
qwen36-distill-apex adityakale/kotakneo
Tokens/sec55.281.2
First chunk210 ms183 ms
TTFT210 ms183 ms
Load time4.8 s2.5 s
Memory usage0.9 GB17.8 GB
Memory %2%14%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
adityakale/kotakneo
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
adityakale/kotakneo
Reasoning
11/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor 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