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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

orcarouter/Qwen3.8-27B-Uncensored:iq4_xs

OLLAMA GGUF

qwen35 · 27.3B · IQ4_XS

Excellent

Sep 11, 2026 · Intel Core™ i5-10400

Global Score

77 vs 88

Hardware Fit

100 vs 69

Quality Score

67 vs 96

Hardware

mlx-community/meta… orcarouter/Qwen3.8…

MachineMac miniASUS

CPUApple M4 ProIntel Core™ i5-10400

Cores1412

RAM64 GB16 GB

GPUApple M4 ProTodesk Virtual Display Adapter, AskLink Display Adapter (SDR), OrayIddDriver Device, NVIDIA GeForce RTX 3080

OSmacOS 15.7.4Microsoft Windows 10 专业版 10.0.19045

Archarm64x64

Power Modebalancedbalanced

Performance

mlx-community/meta… orcarouter/Qwen3.8…

Tokens/sec54.339.5

First chunk277 ms220 ms

TTFT277 ms3.2 s

Load timeN/A13.7 s

Memory usage4.2 GB14.2 GB

Memory %7%89%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

orcarouter/Qwen3.8-27B-…

Speed

50/50

TTFT

14/20

Memory

5/30

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

orcarouter/Qwen3.8-27B-…

Reasoning

19/20

Coding

19/20

Instruction

18/20

Structured

15/15

Math

15/15

Multilingual

10/10

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

View mlx-community/meta… details | View orcarouter/Qwen3.8… 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