qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
Global Score
36 vs 53
Hardware Fit
100 vs 72
Quality Score
8 vs 45
Hardware
qwen36-distill-apex qwen3.5:9b
MachineMacBook ProMacBook Pro
CPUApple M5 MaxApple M1 Max
Cores1810
RAM64 GB32 GB
GPUApple M5 MaxApple M1 Max
OSmacOS 27.0macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen36-distill-apex qwen3.5:9b
Tokens/sec55.218.6
First chunk210 ms403 ms
TTFT210 ms10.2 s
Load time4.8 s4.3 s
Memory usage0.9 GB9.1 GB
Memory %2%28%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:9b
Speed
38/50
TTFT
4/20
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
qwen3.5:9b
Reasoning
12/20
Coding
3/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak 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