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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.5-4b-mlx

LM-STUDIO MLX

qwen3_5 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score

77 vs 71

Hardware Fit

100 vs 88

Quality Score

67 vs 63

Hardware

mlx-community/meta… qwen3.5-4b-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

mlx-community/meta… qwen3.5-4b-mlx

Tokens/sec54.323.1

First chunk277 ms3279 ms

TTFT277 ms3.3 s

Load timeN/AN/A

Memory usage4.2 GB2.9 GB

Memory %7%9%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5-4b-mlx

Speed

45/50

TTFT

13/20

Memory

30/30

Quality

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

qwen3.5-4b-mlx

Reasoning

15/20

Coding

16/20

Instruction

6/20

Structured

6/15

Math

11/15

Multilingual

9/10

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

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