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

DeepSeek R1 Zero
DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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.

DeepSeek R1 Zero
DeepSeek
2025-01-20

Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
4 months newer
Average performance across 2 common benchmarks

DeepSeek R1 Zero

Gemma 3n E4B Instructed LiteRT Preview
Performance comparison across key benchmark categories

DeepSeek R1 Zero

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

DeepSeek R1 Zero

Gemma 3n E4B Instructed LiteRT Preview

DeepSeek R1 Zero

Gemma 3n E4B Instructed LiteRT Preview