Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

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.

Alibaba

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

DeepSeek VL2 Small

DeepSeek

2024-12-13

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

1 month newer

Average performance across 7 common benchmarks

DeepSeek

DeepSeek VL2 Small

Average Score:75.1%
Alibaba

Qwen2.5 VL 72B Instruct

+9.5%
Average Score:84.5%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

vision
+16.3%
74.9%
general
68.9%
math
+4.2%
60.7%
Alibaba

Qwen2.5 VL 72B Instruct

vision
58.6%
general
+0.7%
69.6%
math
56.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers
Alibaba

Qwen2.5 VL 72B Instruct

0 providers
DeepSeek

DeepSeek VL2 Small

Avg Score:75.1%
Providers:0
Alibaba

Qwen2.5 VL 72B Instruct

+9.5%
Avg Score:84.5%
Providers:0