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 32B Instruct

Alibaba

Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 32B Instruct

Alibaba

2024-09-19

DeepSeek

DeepSeek VL2 Small

DeepSeek

2024-12-13

2 months newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

math
60.7%
general
68.9%
Alibaba

Qwen2.5 32B Instruct

math
+28.8%
89.5%
general
+2.4%
71.3%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers
Alibaba

Qwen2.5 32B Instruct

0 providers
DeepSeek

DeepSeek VL2 Small

Avg Score:0.0%
Providers:0
Alibaba

Qwen2.5 32B Instruct

Avg Score:0.0%
Providers:0