unsloth-phi-4

LM-STUDIO MLX

llama · 4bit

Excellent

Mar 6, 2026 · Apple M4 Pro

qwen3.5-2b-mlx

LM-STUDIO MLX

qwen3_5 · 2B · 8bit

Good

Mar 3, 2026 · Apple M4

Global Score

82 vs 70

Hardware Fit

88 vs 93

Quality Score

80 vs 60

Hardware

unsloth-phi-4 qwen3.5-2b-mlx

MachineMac miniMacBook Air

CPUApple M4 ProApple M4

Cores1410

RAM64 GB32 GB

GPUApple M4 ProApple M4

OSmacOS 15.7.4macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

unsloth-phi-4 qwen3.5-2b-mlx

Tokens/sec27.432.9

First chunk457 ms3096 ms

TTFT457 ms3.1 s

Load timeN/AN/A

Memory usage7.7 GB2.5 GB

Memory %12%8%

HW Fit Score Breakdown

unsloth-phi-4

Speed

38/50

TTFT

20/20

Memory

30/30

qwen3.5-2b-mlx

Speed

50/50

TTFT

13/20

Memory

30/30

Quality

unsloth-phi-4

Reasoning

15/20

Coding

19/20

Instruction

14/20

Structured

13/15

Math

9/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.5-2b-mlx

Reasoning

11/20

Coding

9/20

Instruction

14/20

Structured

14/15

Math

3/15

Multilingual

9/10

Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

View unsloth-phi-4 details | View qwen3.5-2b-mlx details

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