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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.5-27b-claude-4.6-opus-distilled-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

Global Score

77 vs 34

Hardware Fit

100 vs 21

Quality Score

67 vs 39

Hardware

mlx-community/meta… qwen3.5-27b-claude…

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-claude…

Tokens/sec54.36.1

First chunk277 ms7 ms

TTFT277 ms22.9 s

Load timeN/AN/A

Memory usage4.2 GB19.8 GB

Memory %7%82%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5-27b-claude-4.6-…

Speed

12/50

TTFT

0/20

Memory

9/30

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-claude-4.6-…

Reasoning

1/20

Coding

14/20

Instruction

5/20

Structured

8/15

Math

4/15

Multilingual

7/10

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

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