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.

o1-pro
OpenAI
o1-pro is a multimodal language model developed by OpenAI. This model demonstrates exceptional performance with an average score of 82.5% across 2 benchmarks. It excels particularly in AIME 2024 (86.0%), GPQA (79.0%). The model shows particular specialization in general tasks with an average performance of 82.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.

o1-pro
OpenAI
2024-12-17

Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
5 months newer
Average performance across 1 common benchmarks

Gemma 3n E4B Instructed LiteRT Preview

o1-pro
Performance comparison across key benchmark categories

Gemma 3n E4B Instructed LiteRT Preview

o1-pro
o1-pro
2023-09-30
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B Instructed LiteRT Preview

o1-pro

Gemma 3n E4B Instructed LiteRT Preview

o1-pro