Back to leaderboard

qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
85 vs 68
Hardware Fit
100 vs 93
Quality Score
79 vs 57

Hardware

qwen2.5:7b google/gemma-4-e4b
MachineMACHENIKE L16PLENOVO 82JQ
CPUIntel Gen Intel® Core™ i9-12900HXAMD Ryzen 7 5800H
Cores2416
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUNVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 11 专业版 10.0.26300Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5:7b google/gemma-4-e4b
Tokens/sec52.126.2
First chunk41 ms17 ms
TTFT41 ms572 ms
Load time2.1 sN/A
Memory usage4.4 GB6.5 GB
Memory %14%41%

HW Fit Score Breakdown

qwen2.5:7b

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

google/gemma-4-e4b

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

Quality

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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
View qwen2.5:7b details | View google/gemma-4-e4b 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