qwen3.5:4b-mlx

OLLAMA GGUF

nvfp4

Marginal

Aug 24, 2026 · Apple M2

Kimi-48B:48B

OLLAMA GGUF

kimi-linear · 49.1B · unknown

Excellent

Aug 22, 2026 · NVIDIA RTX Spark N1X (6144-core GPU, 20-core ) RTX Spark N1X (6144-core GPU, 20-core )

Global Score

53 vs 90

Hardware Fit

82 vs 96

Quality Score

41 vs 88

Hardware

qwen3.5:4b-mlx Kimi-48B:48B

MachineMac miniHP HyperX OMEN Transcend Gaming Laptop 14-ga0xxx5CD612DXML

CPUApple M2NVIDIA RTX Spark N1X (6144-core GPU, 20-core ) RTX Spark N1X (6144-core GPU, 20-core )

Cores820

RAM8 GB55 GB

GPUApple M2NVIDIA RTX Spark N1X (6144-core Blackwell RTX GPU), NVIDIA NPU

OSmacOS 26.5.2Microsoft Windows 11 Pro 10.0.28000

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.5:4b-mlx Kimi-48B:48B

Tokens/sec24.762.7

First chunk302 ms397 ms

TTFT7.4 s397 ms

Load time3.2 s16.8 s

Memory usage3.8 GB25.5 GB

Memory %47%47%

HW Fit Score Breakdown

qwen3.5:4b-mlx

Speed

50/50

TTFT

6/20

Memory

26/30

Kimi-48B:48B

Speed

50/50

TTFT

20/20

Memory

26/30

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

Kimi-48B:48B

Reasoning

16/20

Coding

19/20

Instruction

16/20

Structured

15/15

Math

12/15

Multilingual

10/10

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

View qwen3.5:4b-mlx details | View Kimi-48B:48B 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