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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
62 vs 80
Hardware Fit
77 vs 85
Quality Score
55 vs 78

Hardware

google/gemma-4-e4b qwen3:8b
MachineLENOVO 82JQHP HP Z8 G4 Workstation
CPUAMD Ryzen 7 5800HIntel Xeon® Gold 6230
Cores1680
RAM16 GB252 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUTU104GL [Quadro RTX 5000]
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b qwen3:8b
Tokens/sec27.665.1
First chunk23 ms289 ms
TTFT480 ms4.2 s
Load timeN/A4.6 s
Memory usage13.2 GB5.6 GB
Memory %83%2%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3:8b

Speed
50/50
TTFT
5/20
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

qwen3:8b

Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View qwen3:8b 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