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 · 4.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

Global Score

77 vs 61

Hardware Fit

100 vs 69

Quality Score

67 vs 58

Hardware

mlx-community/meta… qwen3.5:4b

MachineMac miniGigabyte Technology Co., Ltd. H170M-D3H

CPUApple M4 ProIntel Core™ i5-6500

Cores144

RAM64 GB16 GB

GPUApple M4 ProGP104 [GeForce GTX 1070]

OSmacOS 15.7.4Ubuntu 24.04.4 LTS

Archarm64x64

Power Modebalancedlow-power

Performance

mlx-community/meta… qwen3.5:4b

Tokens/sec54.335.7

First chunk277 ms438 ms

TTFT277 ms5.1 s

Load timeN/A40.1 s

Memory usage4.2 GB5.5 GB

Memory %7%35%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5:4b

Speed

50/50

TTFT

11/20

Memory

8/30

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

18/20

Coding

1/20

Instruction

8/20

Structured

8/15

Math

13/15

Multilingual

10/10

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