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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score

77 vs 57

Hardware Fit

100 vs 61

Quality Score

67 vs 55

Hardware

mlx-community/meta… qwen3.5:9b

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 Modebalancedlow-power

Performance

mlx-community/meta… qwen3.5:9b

Tokens/sec54.330.3

First chunk277 ms205 ms

TTFT277 ms8.7 s

Load timeN/A5.6 s

Memory usage4.2 GB18.8 GB

Memory %7%15%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5:9b

Speed

30/50

TTFT

1/20

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

qwen3.5:9b

Reasoning

17/20

Coding

2/20

Instruction

7/20

Structured

8/15

Math

12/15

Multilingual

9/10

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

View mlx-community/meta… details | View qwen3.5:9b 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