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 E2B Instructed
Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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 E2B Instructed
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 E2B Instructed
Average performance across 28 common benchmarks
DeepSeek-V3.2-Exp
Gemma 3n E2B Instructed
Performance comparison across key benchmark categories
DeepSeek-V3.2-Exp
Gemma 3n E2B Instructed
Gemma 3n E2B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Gemma 3n E2B Instructed
DeepSeek-V3.2-Exp
Gemma 3n E2B Instructed