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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3.8:latest

OLLAMA GGUF

qwen35 · 27.3B · Q4_K_M

Good

Oct 2, 2026 · AMD Ryzen 9 5950X 16-Core Processor

Global Score
68 vs 68
Hardware Fit
93 vs 22
Quality Score
57 vs 88

Hardware

google/gemma-4-e4b qwen3.8:latest
MachineLENOVO 82JQSystem manufacturer
CPUAMD Ryzen 7 5800HAMD Ryzen 9 5950X 16-Core Processor
Cores1632
RAM16 GB32 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUNVIDIA GeForce RTX 3090
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 11 Pro 10.0.26300
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.8:latest
Tokens/sec26.210.0
First chunk17 ms1041 ms
TTFT572 ms14.3 s
Load timeN/A22.3 s
Memory usage6.5 GB26.2 GB
Memory %41%82%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.8:latest

Speed
12/50
TTFT
1/20
Memory
9/30

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

qwen3.8:latest

Reasoning
19/20
Coding
19/20
Instruction
10/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View qwen3.8:latest 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