qwen3.5:4b-mlx

OLLAMA GGUF

nvfp4

Marginal

Aug 24, 2026 · Apple M2

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

53 vs 77

Hardware Fit

82 vs 100

Quality Score

41 vs 67

Hardware

qwen3.5:4b-mlx mlx-community/meta…

MachineMac miniMac mini

CPUApple M2Apple M4 Pro

Cores814

RAM8 GB64 GB

GPUApple M2Apple M4 Pro

OSmacOS 26.5.2macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.5:4b-mlx mlx-community/meta…

Tokens/sec24.754.3

First chunk302 ms277 ms

TTFT7.4 s277 ms

Load time3.2 sN/A

Memory usage3.8 GB4.2 GB

Memory %47%7%

HW Fit Score Breakdown

qwen3.5:4b-mlx

Speed

50/50

TTFT

6/20

Memory

26/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

qwen3.5:4b-mlx

Reasoning

13/20

Coding

2/20

Instruction

4/20

Structured

4/15

Math

10/15

Multilingual

8/10

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

mlx-community/meta-llam…

Reasoning

11/20

Coding

14/20

Instruction

14/20

Structured

15/15

Math

4/15

Multilingual

9/10

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

View qwen3.5:4b-mlx details | View mlx-community/meta… 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