Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

gemma4:26b

OLLAMA GGUF

gemma4 · 25.2B · Q4_K_M

Not Rec.

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

Global Score
68 vs 84
Hardware Fit
93 vs 80
Quality Score
57 vs 86

Hardware

google/gemma-4-e4b gemma4:26b
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 gemma4:26b
Tokens/sec26.2147.6
First chunk17 ms139 ms
TTFT572 ms30.0 s
Load timeN/A21.3 s
Memory usage6.5 GB1.7 GB
Memory %41%5%

HW Fit Score Breakdown

google/gemma-4-e4b

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

gemma4:26b

Speed
50/50
TTFT
0/20
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

gemma4:26b

Reasoning
17/20
Coding
14/20
Instruction
18/20
Structured
15/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View gemma4:26b 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