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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
62 vs 64
Hardware Fit
77 vs 69
Quality Score
55 vs 62

Hardware

google/gemma-4-e4b qwen3.5:4b
MachineLENOVO 82JQLENOVO 20U30029MB
CPUAMD Ryzen 7 5800HIntel Core™ i5-10210U
Cores168
RAM16 GB15 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUCometLake-U GT2 [UHD Graphics]
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Pop 24.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b qwen3.5:4b
Tokens/sec27.67.4
First chunk23 ms1815 ms
TTFT480 ms1.8 s
Load timeN/A10.9 s
Memory usage13.2 GB3.5 GB
Memory %83%23%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.5:4b

Speed
19/50
TTFT
20/20
Memory
30/30

Quality

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

qwen3.5:4b

Reasoning
15/20
Coding
14/20
Instruction
6/20
Structured
12/15
Math
6/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Weak Multilingual: Strong
View google/gemma-4-e4b details | View qwen3.5:4b 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