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

Nova Pro
Amazon
Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Amazon'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.

Nova Pro
Amazon
2024-11-20

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

Nova Pro

QvQ-72B-Preview
Average performance across 1 common benchmarks

Nova Pro

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

Nova Pro

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

Nova Pro
Bedrock

QvQ-72B-Preview

Nova Pro

QvQ-72B-Preview