qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
phi-1_5
LM-STUDIO GGUFphi2 · Q8_0
Mar 6, 2026 · Intel Core™ i5-5300U
Global Score
59 vs 28
Hardware Fit
65 vs 66
Quality Score
57 vs 11
Hardware
qwen3.5-9b-mlx phi-1_5
MachineMac miniLENOVO 20BUS00700
CPUApple M4Intel Core™ i5-5300U
Cores104
RAM24 GB16 GB
GPUApple M4Intel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-9b-mlx phi-1_5
Tokens/sec14.36.9
First chunk24 ms3040 ms
TTFT13.4 s3.0 s
Load time13.3 sN/A
Memory usage2.5 GB1.4 GB
Memory %10%9%
HW Fit Score Breakdown
qwen3.5-9b-mlx
Speed
32/50
TTFT
3/20
Memory
30/30
phi-1_5
Speed
24/50
TTFT
16/20
Memory
26/30
Quality
qwen3.5-9b-mlx
Reasoning
10/20
Coding
17/20
Instruction
5/20
Structured
9/15
Math
11/15
Multilingual
5/10
Reasoning: Weak Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Adequate
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