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

DeepSeek-V3
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

QvQ-72B-Preview
Alibaba
QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

DeepSeek-V3
DeepSeek
2024-12-25

QvQ-72B-Preview
Alibaba
2024-12-25
0 days newer
Performance Metrics
Context window and performance specifications

DeepSeek-V3

QvQ-72B-Preview
Performance comparison across key benchmark categories

DeepSeek-V3

QvQ-72B-Preview
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

QvQ-72B-Preview

DeepSeek-V3

QvQ-72B-Preview