mlx-community/quantized-gemma-2b-it

LM-STUDIO GGUF

Marginal

Mar 5, 2026 · Apple M4

qwen3.6-35b-a3b-claude-4.7-opus-reasoning-distilled-apex

LM-STUDIO GGUF

qwen35moe · 35B

Excellent

Jul 17, 2026 · Apple M5 Max

Global Score

45 vs 90

Hardware Fit

100 vs 98

Quality Score

21 vs 86

Hardware

mlx-community/quan… qwen3.6-35b-a3b-cl…

MachineMacBook AirMacBook Pro

CPUApple M4Apple M5 Max

Cores1018

RAM32 GB64 GB

GPUApple M4Apple M5 Max

OSmacOS 26.3macOS 27.0

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/quan… qwen3.6-35b-a3b-cl…

Tokens/sec44.486.6

First chunk336 ms13 ms

TTFT336 ms143 ms

Load timeN/AN/A

Memory usage0.1 GB23.9 GB

Memory %0%37%

HW Fit Score Breakdown

mlx-community/quantized…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.6-35b-a3b-claude-…

Speed

50/50

TTFT

20/20

Memory

28/30

Quality

mlx-community/quantized…

Reasoning

4/20

Coding

1/20

Instruction

9/20

Structured

4/15

Math

2/15

Multilingual

1/10

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

qwen3.6-35b-a3b-claude-…

Reasoning

18/20

Coding

17/20

Instruction

14/20

Structured

15/15

Math

12/15

Multilingual

10/10

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

View mlx-community/quan… details | View qwen3.6-35b-a3b-cl… 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