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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.5-4b-super-coder

LM-STUDIO GGUF

qwen35 · 4B · Q4_0

Excellent

Oct 24, 2026 · Intel Core™ i3-9100F

Global Score

77 vs 83

Hardware Fit

100 vs 96

Quality Score

67 vs 77

Hardware

mlx-community/meta… qwen3.5-4b-super-c…

MachineMac miniGigabyte Technology Co., Ltd. H310M S2 2.0

CPUApple M4 ProIntel Core™ i3-9100F

Cores144

RAM64 GB16 GB

GPUApple M4 ProVirtual Desktop Monitor, NVIDIA GeForce GTX 1650

OSmacOS 15.7.4Майкрософт Windows 10 Pro 10.0.19045

Archarm64x64

Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3.5-4b-super-c…

Tokens/sec54.315.3

First chunk277 ms33 ms

TTFT277 ms686 ms

Load timeN/AN/A

Memory usage4.2 GB3.6 GB

Memory %7%22%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5-4b-super-coder

Speed

46/50

TTFT

20/20

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

qwen3.5-4b-super-coder

Reasoning

16/20

Coding

13/20

Instruction

13/20

Structured

15/15

Math

11/15

Multilingual

9/10

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

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