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qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Aug 23, 2026 · Apple M1 Pro

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
69 vs 62
Hardware Fit
86 vs 77
Quality Score
62 vs 55

Hardware

qwen3.5:4b google/gemma-4-e4b
MachineMacBook ProLENOVO 82JQ
CPUApple M1 ProAMD Ryzen 7 5800H
Cores1016
RAM16 GB16 GB
GPUApple M1 ProNVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.6.2Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5:4b google/gemma-4-e4b
Tokens/sec36.727.6
First chunk207 ms23 ms
TTFT6.6 s480 ms
Load time3.0 sN/A
Memory usage5.3 GB13.2 GB
Memory %33%83%

HW Fit Score Breakdown

qwen3.5:4b

Speed
50/50
TTFT
7/20
Memory
29/30

google/gemma-4-e4b

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

Quality

qwen3.5:4b

Reasoning
16/20
Coding
1/20
Instruction
14/20
Structured
9/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong 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