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

DeepSeek VL2 Tiny
DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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.

QwQ-32B
Alibaba
QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek VL2 Tiny
DeepSeek
2024-12-13

QwQ-32B
Alibaba
2025-03-05
2 months newer
Performance comparison across key benchmark categories

DeepSeek VL2 Tiny

QwQ-32B
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Tiny

QwQ-32B

DeepSeek VL2 Tiny

QwQ-32B