Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek VL2 Small
DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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.
DeepSeek VL2 Small
DeepSeek
2024-12-13
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
9 months newer
Performance Metrics
Context window and performance specifications
DeepSeek VL2 Small
DeepSeek-V3.2-Exp
Average performance across 28 common benchmarks
DeepSeek VL2 Small
DeepSeek-V3.2-Exp
Performance comparison across key benchmark categories
DeepSeek VL2 Small
DeepSeek-V3.2-Exp
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek VL2 Small
DeepSeek-V3.2-Exp
Novita
ZeroEval
DeepSeek VL2 Small
DeepSeek-V3.2-Exp