qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
Global Score
58 vs 36
Hardware Fit
68 vs 100
Quality Score
54 vs 8
Hardware
qwen3.5-9b-mlx qwen36-distill-apex
MachineMac miniMacBook Pro
CPUApple M4Apple M5 Max
Cores1018
RAM24 GB64 GB
GPUApple M4Apple M5 Max
OSmacOS 26.3macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-9b-mlx qwen36-distill-apex
Tokens/sec16.755.2
First chunk23 ms210 ms
TTFT14.1 s210 ms
Load timeN/A4.8 s
Memory usage7.8 GB0.9 GB
Memory %33%2%
HW Fit Score Breakdown
qwen3.5-9b-mlx
Speed
36/50
TTFT
3/20
Memory
29/30
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-9b-mlx
Reasoning
10/20
Coding
16/20
Instruction
4/20
Structured
9/15
Math
10/15
Multilingual
5/10
Reasoning: Adequate Coding: Strong Instruction Following: Poor Structured Output: Adequate Math: Adequate Multilingual: Adequate
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
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