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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3:4b

OLLAMA GGUF

qwen3 · 4.0B · Q4_K_M

Not Rec.

Jun 26, 2026 · Cortex-A78AE

Global Score
68 vs 29
Hardware Fit
93 vs 86
Quality Score
57 vs 4

Hardware

google/gemma-4-e4b qwen3:4b
MachineLENOVO 82JQNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUAMD Ryzen 7 5800HCortex-A78AE
Cores166
RAM16 GB7 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUIntegrated / Unknown
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 22.04.5 LTS
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3:4b
Tokens/sec26.217.9
First chunk17 ms1010 ms
TTFT572 ms6.4 s
Load timeN/A9.5 s
Memory usage6.5 GB3.0 GB
Memory %41%40%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

qwen3:4b

Speed
50/50
TTFT
8/20
Memory
28/30

Quality

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

qwen3:4b

Reasoning
4/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View google/gemma-4-e4b details | View qwen3:4b 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