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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.2B · Q4_K_M

Excellent

Oct 12, 2026 · AMD Ryzen 5 5500

Global Score

77 vs 81

Hardware Fit

100 vs 98

Quality Score

67 vs 74

Hardware

mlx-community/meta… qwen3.5:4b

MachineMac miniMicrosoft WSL

CPUApple M4 ProAMD Ryzen 5 5500

Cores1412

RAM64 GB8 GB

GPUApple M4 ProIntegrated / Unknown

OSmacOS 15.7.4Ubuntu 26.04.1 LTS

Archarm64x64

Power Modebalancedunknown

Performance

mlx-community/meta… qwen3.5:4b

Tokens/sec54.393.7

First chunk277 ms249 ms

TTFT277 ms249 ms

Load timeN/A10.1 s

Memory usage4.2 GB2.9 GB

Memory %7%38%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5:4b

Speed

50/50

TTFT

20/20

Memory

28/30

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

qwen3.5:4b

Reasoning

15/20

Coding

13/20

Instruction

15/20

Structured

15/15

Math

7/15

Multilingual

9/10

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

View mlx-community/meta… details | View qwen3.5:4b 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