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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.6-35b-a3b

LM-STUDIO GGUF

qwen35moe · 35B · Q4_K_S

Not Rec.

Apr 20, 2026 · Apple M2 Max

Global Score

77 vs 82

Hardware Fit

100 vs 80

Quality Score

67 vs 83

Hardware

mlx-community/meta… qwen3.6-35b-a3b

MachineMac miniMac Studio

CPUApple M4 ProApple M2 Max

Cores1412

RAM64 GB96 GB

GPUApple M4 ProApple M2 Max

OSmacOS 15.7.4macOS 26.1

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3.6-35b-a3b

Tokens/sec54.355.2

First chunk277 ms4 ms

TTFT277 ms30.0 s

Load timeN/AN/A

Memory usage4.2 GB30.3 GB

Memory %7%32%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.6-35b-a3b

Speed

50/50

TTFT

0/20

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

qwen3.6-35b-a3b

Reasoning

18/20

Coding

10/20

Instruction

18/20

Structured

14/15

Math

14/15

Multilingual

9/10

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

View mlx-community/meta… details | View qwen3.6-35b-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