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qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M4

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
48 vs 62
Hardware Fit
77 vs 77
Quality Score
35 vs 55

Hardware

qwen3.5:4b google/gemma-4-e4b
MachineMac miniLENOVO 82JQ
CPUApple M4AMD Ryzen 7 5800H
Cores1016
RAM16 GB16 GB
GPUApple M4NVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.3Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5:4b google/gemma-4-e4b
Tokens/sec18.927.6
First chunk316 ms23 ms
TTFT13.0 s480 ms
Load time3.7 sN/A
Memory usage5.9 GB13.2 GB
Memory %37%83%

HW Fit Score Breakdown

qwen3.5:4b

Speed
43/50
TTFT
4/20
Memory
30/30

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

Quality

qwen3.5:4b

Reasoning
10/20
Coding
1/20
Instruction
4/20
Structured
3/15
Math
8/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Adequate Multilingual: Strong

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
View qwen3.5:4b 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