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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3-coder-next:latest

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Excellent

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score

77 vs 82

Hardware Fit

100 vs 71

Quality Score

67 vs 87

Hardware

mlx-community/meta… qwen3-coder-next:l…

MachineMac miniAZW GTR Pro

CPUApple M4 ProAMD RYZEN AI MAX+ 395

Cores1432

RAM64 GB125 GB

GPUApple M4 ProAMD Radeon 8060S

OSmacOS 15.7.4Ubuntu 24.04.4 LTS

Archarm64x64

Power Modebalancedperformance

Performance

mlx-community/meta… qwen3-coder-next:l…

Tokens/sec54.334.5

First chunk277 ms262 ms

TTFT277 ms262 ms

Load timeN/A16.4 s

Memory usage4.2 GB56.8 GB

Memory %7%46%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3-coder-next:latest

Speed

34/50

TTFT

20/20

Memory

17/30

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-coder-next:latest

Reasoning

18/20

Coding

18/20

Instruction

13/20

Structured

15/15

Math

13/15

Multilingual

10/10

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

View mlx-community/meta… details | View qwen3-coder-next:l… 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