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
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.
DeepSeek R1 Zero
DeepSeek
2025-01-20
Gemma 3n E4B
2025-06-26
5 months newer
Performance comparison across key benchmark categories
DeepSeek R1 Zero
Gemma 3n E4B
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Zero
Gemma 3n E4B
DeepSeek R1 Zero
Gemma 3n E4B