qwen3.5:4b-mlx

OLLAMA GGUF

nvfp4

Marginal

Aug 24, 2026 · Apple M2

muse-glimmer

OLLAMA GGUF

Good

Sep 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score

53 vs 74

Hardware Fit

82 vs 41

Quality Score

41 vs 88

Hardware

qwen3.5:4b-mlx muse-glimmer

MachineMac miniAZW GTR Pro

CPUApple M2AMD RYZEN AI MAX+ 395

Cores832

RAM8 GB125 GB

GPUApple M2Radeon 8060S

OSmacOS 26.5.2Ubuntu 24.04.4 LTS

Archarm64x64

Power Modebalancedlow-power

Performance

qwen3.5:4b-mlx muse-glimmer

Tokens/sec24.712.1

First chunk302 ms8749 ms

TTFT7.4 s8.7 s

Load time3.2 s0.3 s

Memory usage3.8 GB0.0 GB

Memory %47%0%

HW Fit Score Breakdown

qwen3.5:4b-mlx

Speed

50/50

TTFT

6/20

Memory

26/30

muse-glimmer

Speed

10/50

TTFT

1/20

Memory

30/30

Quality

qwen3.5:4b-mlx

Reasoning

13/20

Coding

2/20

Instruction

4/20

Structured

4/15

Math

10/15

Multilingual

8/10

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

muse-glimmer

Reasoning

18/20

Coding

18/20

Instruction

13/20

Structured

14/15

Math

15/15

Multilingual

10/10

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

View qwen3.5:4b-mlx details | View muse-glimmer 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