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.

Qwen2.5 VL 72B Instruct
Alibaba
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek VL2 Small
DeepSeek
2024-12-13

Qwen2.5 VL 72B Instruct
Alibaba
2025-01-26
1 month newer
Average performance across 7 common benchmarks

DeepSeek VL2 Small

Qwen2.5 VL 72B Instruct
Performance comparison across key benchmark categories

DeepSeek VL2 Small

Qwen2.5 VL 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Small

Qwen2.5 VL 72B Instruct

DeepSeek VL2 Small

Qwen2.5 VL 72B Instruct