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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3:0.6b

OLLAMA GGUF

qwen3 · 751.63M · Q4_K_M

Good

Apr 29, 2026 · Intel Core™ i5-8350U

Global Score
68 vs 61
Hardware Fit
93 vs 85
Quality Score
57 vs 51

Hardware

google/gemma-4-e4b qwen3:0.6b
MachineLENOVO 82JQLENOVO 20L7CTO1WW
CPUAMD Ryzen 7 5800HIntel Core™ i5-8350U
Cores168
RAM16 GB23 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUKaby Lake-R GT2 [UHD Graphics 620]
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Fedora Linux 43
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b qwen3:0.6b
Tokens/sec26.227.0
First chunk17 ms597 ms
TTFT572 ms8.7 s
Load timeN/A1.8 s
Memory usage6.5 GB0.9 GB
Memory %41%4%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3:0.6b

Speed
50/50
TTFT
5/20
Memory
30/30

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

qwen3:0.6b

Reasoning
14/20
Coding
0/20
Instruction
9/20
Structured
12/15
Math
9/15
Multilingual
7/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Strong Math: Adequate Multilingual: Adequate
View google/gemma-4-e4b details | View qwen3:0.6b 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