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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.8-27b-claude-opus-reasoning-distilled

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Excellent

Aug 20, 2026 · Apple M4 Max

Global Score

77 vs 80

Hardware Fit

100 vs 63

Quality Score

67 vs 87

Hardware

mlx-community/meta… qwen3.8-27b-claude…

MachineMac miniMacBook Pro

CPUApple M4 ProApple M4 Max

Cores1416

RAM64 GB128 GB

GPUApple M4 ProApple M4 Max

OSmacOS 15.7.4macOS 26.5.2

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3.8-27b-claude…

Tokens/sec54.324.0

First chunk277 ms20 ms

TTFT277 ms4.5 s

Load timeN/AN/A

Memory usage4.2 GB15.7 GB

Memory %7%12%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.8-27b-claude-opus…

Speed

27/50

TTFT

6/20

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

qwen3.8-27b-claude-opus…

Reasoning

19/20

Coding

18/20

Instruction

11/20

Structured

15/15

Math

14/15

Multilingual

10/10

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

View mlx-community/meta… details | View qwen3.8-27b-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