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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 24, 2026 · Intel Core™ Ultra X7 358H

Global Score
53 vs 86
Hardware Fit
82 vs 78
Quality Score
41 vs 89

Hardware

qwen3.5:4b-mlx Kimi-48B:48B
MachineMac miniGMKtec NucBox EVO-T2S
CPUApple M2Intel Core™ Ultra X7 358H
Cores816
RAM8 GB64 GB
GPUApple M2Intel(R) Arc(TM) B390 GPU
OSmacOS 26.5.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5:4b-mlx Kimi-48B:48B
Tokens/sec24.723.1
First chunk302 ms752 ms
TTFT7.4 s752 ms
Load time3.2 s22.2 s
Memory usage3.8 GB25.5 GB
Memory %47%40%

HW Fit Score Breakdown

qwen3.5:4b-mlx

Speed
50/50
TTFT
6/20
Memory
26/30

Kimi-48B:48B

Speed
31/50
TTFT
20/20
Memory
27/30

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
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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