Back to leaderboard

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest