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.

GPT-4.1 nano
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

DeepSeek VL2 Small
DeepSeek
2024-12-13

GPT-4.1 nano
OpenAI
2025-04-14
4 months newer
Performance Metrics
Context window and performance specifications

DeepSeek VL2 Small

GPT-4.1 nano
Average performance across 2 common benchmarks

DeepSeek VL2 Small

GPT-4.1 nano
Performance comparison across key benchmark categories

DeepSeek VL2 Small

GPT-4.1 nano
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Small

GPT-4.1 nano
OpenAI

DeepSeek VL2 Small

GPT-4.1 nano