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.

Qwen2-VL-72B-Instruct
Alibaba
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2-VL-72B-Instruct
Alibaba
2024-08-29

Nova Pro
Amazon
2024-11-20
2 months newer
Performance Metrics
Context window and performance specifications

Nova Pro

Qwen2-VL-72B-Instruct
Average performance across 3 common benchmarks

Nova Pro

Qwen2-VL-72B-Instruct
Performance comparison across key benchmark categories

Nova Pro

Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Provider Availability & Performance
Available providers and their performance metrics

Nova Pro
Bedrock

Qwen2-VL-72B-Instruct

Nova Pro

Qwen2-VL-72B-Instruct