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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.6:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Jun 25, 2026 · Apple M4 Pro

Global Score

77 vs 20

Hardware Fit

100 vs 34

Quality Score

67 vs 14

Hardware

mlx-community/meta… qwen3.6:27b

MachineMac miniMac mini

CPUApple M4 ProApple M4 Pro

Cores1412

RAM64 GB24 GB

GPUApple M4 ProApple M4 Pro

OSmacOS 15.7.4macOS 15.6.1

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3.6:27b

Tokens/sec54.310.6

First chunk277 ms1344 ms

TTFT277 ms30.0 s

Load timeN/A0.2 s

Memory usage4.2 GB18.1 GB

Memory %7%75%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.6:27b

Speed

22/50

TTFT

0/20

Memory

12/30

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

qwen3.6:27b

Reasoning

2/20

Coding

1/20

Instruction

2/20

Structured

1/15

Math

2/15

Multilingual

6/10

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

View mlx-community/meta… details | View qwen3.6:27b 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