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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3-vl-4b-instruct-q4_k_m

OPENAI GGUF

Good

Apr 22, 2026 · Apple M2 Max

Global Score

77 vs 62

Hardware Fit

100 vs 100

Quality Score

67 vs 46

Hardware

mlx-community/meta… qwen3-vl-4b-instru…

MachineMac miniMac Studio

CPUApple M4 ProApple M2 Max

Cores1412

RAM64 GB96 GB

GPUApple M4 ProApple M2 Max

OSmacOS 15.7.4macOS 26.1

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3-vl-4b-instru…

Tokens/sec54.367.2

First chunk277 ms66 ms

TTFT277 ms68 ms

Load timeN/A0.0 s

Memory usage4.2 GB0.2 GB

Memory %7%0%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3-vl-4b-instruct-q4…

Speed

50/50

TTFT

20/20

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-vl-4b-instruct-q4…

Reasoning

16/20

Coding

0/20

Instruction

12/20

Structured

1/15

Math

8/15

Multilingual

9/10

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

View mlx-community/meta… details | View qwen3-vl-4b-instru… 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