qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
phi-1_5
LM-STUDIO GGUFphi2 · Q8_0
Mar 6, 2026 · Intel Core™ i5-5300U
Global Score
36 vs 28
Hardware Fit
100 vs 66
Quality Score
8 vs 11
Hardware
qwen36-distill-apex phi-1_5
MachineMacBook ProLENOVO 20BUS00700
CPUApple M5 MaxIntel Core™ i5-5300U
Cores184
RAM64 GB16 GB
GPUApple M5 MaxIntel(R) HD Graphics 5500
OSmacOS 27.0Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
qwen36-distill-apex phi-1_5
Tokens/sec55.26.9
First chunk210 ms3040 ms
TTFT210 ms3.0 s
Load time4.8 sN/A
Memory usage0.9 GB1.4 GB
Memory %2%9%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
phi-1_5
Speed
24/50
TTFT
16/20
Memory
26/30
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
phi-1_5
Reasoning
2/20
Coding
2/20
Instruction
3/20
Structured
0/15
Math
2/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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