Model Comparison

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

Gemma 3n E2B

Google

Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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 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 Granite 4.0 Tiny Preview

IBM

2025-05-02

Gemma 3n E2B

Google

2025-06-26

1 month newer

Average performance across 2 common benchmarks

Gemma 3n E2B

Average Score:49.1%

IBM Granite 4.0 Tiny Preview

+1.9%

Average Score:51.0%

Performance comparison across key benchmark categories

Gemma 3n E2B

general

+4.4%

54.1%

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 E2B

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemma 3n E2B

0 providers

IBM Granite 4.0 Tiny Preview

0 providers

Gemma 3n E2B

Avg Score:49.1%

Providers:0

IBM Granite 4.0 Tiny Preview

+1.9%

Avg Score:51.0%

Providers:0