qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

89 vs 77

Hardware Fit

95 vs 100

Quality Score

87 vs 67

Hardware

qwen/qwen3-8b mlx-community/meta…

MachineMac miniMac mini

CPUApple M4 ProApple M4 Pro

Cores1414

RAM64 GB64 GB

GPUApple M4 ProApple M4 Pro

OSmacOS 15.7.4macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen/qwen3-8b mlx-community/meta…

Tokens/sec33.454.3

First chunk257 ms277 ms

TTFT257 ms277 ms

Load timeN/AN/A

Memory usage4.3 GB4.2 GB

Memory %7%7%

HW Fit Score Breakdown

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

Memory

30/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

qwen/qwen3-8b

Reasoning

19/20

Coding

14/20

Instruction

16/20

Structured

15/15

Math

13/15

Multilingual

10/10

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

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

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