qwen3.5-2b-mlx
LM-STUDIO MLXqwen3_5 · 2B · 4bit
Mar 6, 2026 · Apple M4 Pro
phi-1_5
LM-STUDIO GGUFphi2 · Q8_0
Mar 6, 2026 · Intel Core™ i5-5300U
Global Score
65 vs 28
Hardware Fit
88 vs 66
Quality Score
55 vs 11
Hardware
qwen3.5-2b-mlx phi-1_5
MachineMac miniLENOVO 20BUS00700
CPUApple M4 ProIntel Core™ i5-5300U
Cores144
RAM64 GB16 GB
GPUApple M4 ProIntel(R) HD Graphics 5500
OSmacOS 15.7.4Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-2b-mlx phi-1_5
Tokens/sec48.96.9
First chunk4208 ms3040 ms
TTFT4.2 s3.0 s
Load timeN/AN/A
Memory usage1.6 GB1.4 GB
Memory %3%9%
HW Fit Score Breakdown
qwen3.5-2b-mlx
Speed
50/50
TTFT
8/20
Memory
30/30
phi-1_5
Speed
24/50
TTFT
16/20
Memory
26/30
Quality
qwen3.5-2b-mlx
Reasoning
10/20
Coding
7/20
Instruction
13/20
Structured
14/15
Math
3/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
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