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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Good

Mar 10, 2026 · Apple M4

Global Score

77 vs 66

Hardware Fit

100 vs 34

Quality Score

67 vs 80

Hardware

mlx-community/meta… qwen3.5:27b

MachineMac miniMac mini

CPUApple M4 ProApple M4

Cores1410

RAM64 GB24 GB

GPUApple M4 ProApple M4

OSmacOS 15.7.4macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3.5:27b

Tokens/sec54.34.0

First chunk277 ms1655 ms

TTFT277 ms1.7 s

Load timeN/A12.9 s

Memory usage4.2 GB21.3 GB

Memory %7%89%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5:27b

Speed

8/50

TTFT

20/20

Memory

6/30

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

qwen3.5:27b

Reasoning

16/20

Coding

18/20

Instruction

9/20

Structured

15/15

Math

12/15

Multilingual

10/10

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

View mlx-community/meta… details | View qwen3.5:27b 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