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.

o1-pro
OpenAI
o1-pro is a multimodal language model developed by OpenAI. This model demonstrates exceptional performance with an average score of 82.5% across 2 benchmarks. It excels particularly in AIME 2024 (86.0%), GPQA (79.0%). The model shows particular specialization in general tasks with an average performance of 82.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.

DeepSeek VL2 Small
DeepSeek
2024-12-13

o1-pro
OpenAI
2024-12-17
4 days newer
Performance comparison across key benchmark categories

DeepSeek VL2 Small

o1-pro
o1-pro
2023-09-30
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Small

o1-pro

DeepSeek VL2 Small

o1-pro