Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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-V3
DeepSeek
2024-12-25
Gemma 3n E4B
2025-06-26
6 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3
Gemma 3n E4B
Average performance across 1 common benchmarks
DeepSeek-V3
Gemma 3n E4B
Performance comparison across key benchmark categories
DeepSeek-V3
Gemma 3n E4B
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Gemma 3n E4B
DeepSeek-V3
Gemma 3n E4B