Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemma 3n E4B

Google

Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

IBM

IBM Granite 4.0 Tiny Preview

IBM

IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

Google

Gemma 3n E4B

Google

2025-06-26

1 month newer

Average performance across 2 common benchmarks

Google

Gemma 3n E4B

+5.9%
Average Score:56.9%
IBM

IBM Granite 4.0 Tiny Preview

Average Score:51.0%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B

general
+10.0%
59.6%
IBM

IBM Granite 4.0 Tiny Preview

general
49.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E4B

0 providers
IBM

IBM Granite 4.0 Tiny Preview

0 providers
Google

Gemma 3n E4B

+5.9%
Avg Score:56.9%
Providers:0
IBM

IBM Granite 4.0 Tiny Preview

Avg Score:51.0%
Providers:0