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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.5:35b-a3b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Not Rec.

Mar 6, 2026 · Apple M4 Pro

Global Score

77 vs 59

Hardware Fit

100 vs 69

Quality Score

67 vs 54

Hardware

mlx-community/meta… qwen3.5:35b-a3b

MachineMac miniMacBook Pro

CPUApple M4 ProApple M4 Pro

Cores1414

RAM64 GB48 GB

GPUApple M4 ProApple M4 Pro

OSmacOS 15.7.4macOS 26.3.1

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3.5:35b-a3b

Tokens/sec54.330.5

First chunk277 ms333 ms

TTFT277 ms30.0 s

Load timeN/A9.8 s

Memory usage4.2 GB25.1 GB

Memory %7%52%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5:35b-a3b

Speed

45/50

TTFT

0/20

Memory

24/30

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

qwen3.5:35b-a3b

Reasoning

18/20

Coding

1/20

Instruction

7/20

Structured

6/15

Math

13/15

Multilingual

9/10

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

View mlx-community/meta… details | View qwen3.5:35b-a3b 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