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

Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

o3
OpenAI
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 65.3% across 19 benchmarks. It excels particularly in AIME 2024 (91.6%), ARC-AGI (88.0%), MathVista (86.8%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

o3
OpenAI
2025-04-16

Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
1 month newer
Performance Metrics
Context window and performance specifications

Gemma 3n E4B Instructed LiteRT Preview

o3
Average performance across 2 common benchmarks

Gemma 3n E4B Instructed LiteRT Preview

o3
Performance comparison across key benchmark categories

Gemma 3n E4B Instructed LiteRT Preview

o3
o3
2024-05-31
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B Instructed LiteRT Preview

o3
OpenAI

Gemma 3n E4B Instructed LiteRT Preview

o3