qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

unsloth-phi-4

LM-STUDIO MLX

llama · 4bit

Excellent

Mar 6, 2026 · Apple M4 Pro

Global Score

55 vs 82

Hardware Fit

87 vs 88

Quality Score

41 vs 80

Hardware

qwen3.5-0.8b-mlx unsloth-phi-4

MachineMacBook AirMac mini

CPUApple M4Apple M4 Pro

Cores1014

RAM32 GB64 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx unsloth-phi-4

Tokens/sec68.227.4

First chunk3268 ms457 ms

TTFT3.3 s457 ms

Load timeN/AN/A

Memory usage0.6 GB7.7 GB

Memory %2%12%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed

50/50

TTFT

13/20

Memory

24/30

unsloth-phi-4

Speed

38/50

TTFT

20/20

Memory

30/30

Quality

qwen3.5-0.8b-mlx

Reasoning

8/20

Coding

1/20

Instruction

12/20

Structured

12/15

Math

3/15

Multilingual

5/10

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

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

View qwen3.5-0.8b-mlx details | View unsloth-phi-4 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