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qwen3.5:4b-mlx

OLLAMA GGUF

nvfp4

Marginal

Aug 24, 2026 · Apple M2

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
53 vs 68
Hardware Fit
82 vs 93
Quality Score
41 vs 57

Hardware

qwen3.5:4b-mlx google/gemma-4-e4b
MachineMac miniLENOVO 82JQ
CPUApple M2AMD Ryzen 7 5800H
Cores816
RAM8 GB16 GB
GPUApple M2NVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.5.2Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5:4b-mlx google/gemma-4-e4b
Tokens/sec24.726.2
First chunk302 ms17 ms
TTFT7.4 s572 ms
Load time3.2 sN/A
Memory usage3.8 GB6.5 GB
Memory %47%41%

HW Fit Score Breakdown

qwen3.5:4b-mlx

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

google/gemma-4-e4b

Speed
46/50
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

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
View qwen3.5:4b-mlx details | View google/gemma-4-e4b 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