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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Marginal

Mar 2, 2026 · Apple M4

Global Score

77 vs 47

Hardware Fit

100 vs 67

Quality Score

67 vs 38

Hardware

mlx-community/meta… qwen3:8b

MachineMac miniMacBook Air

CPUApple M4 ProApple M4

Cores1410

RAM64 GB32 GB

GPUApple M4 ProApple M4

OSmacOS 15.7.4macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3:8b

Tokens/sec54.318.7

First chunk277 msN/A

TTFT277 ms12.1 s

Load timeN/A1.2 s

Memory usage4.2 GB9.5 GB

Memory %7%30%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3:8b

Speed

31/50

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

qwen3:8b

Reasoning

5/20

Coding

5/20

Instruction

4/20

Structured

12/15

Math

2/15

Multilingual

10/10

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

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