Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3.2-Exp
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. 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.
Gemma 3n E4B
2025-06-26
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
3 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3.2-Exp
Gemma 3n E4B
Average performance across 25 common benchmarks
DeepSeek-V3.2-Exp
Gemma 3n E4B
Performance comparison across key benchmark categories
DeepSeek-V3.2-Exp
Gemma 3n E4B
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Gemma 3n E4B
DeepSeek-V3.2-Exp
Gemma 3n E4B