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

DeepSeek-R1-0528
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, 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.

QvQ-72B-Preview
Alibaba
2024-12-25

DeepSeek-R1-0528
DeepSeek
2025-05-28
5 months newer
Performance Metrics
Context window and performance specifications

DeepSeek-R1-0528

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

DeepSeek-R1-0528

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

DeepSeek-R1-0528
DeepInfra
Novita
DeepSeek

QvQ-72B-Preview

DeepSeek-R1-0528

QvQ-72B-Preview