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.

Phi-3.5-vision-instruct
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. 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 Microsoft's latest advancement in AI technology.

Phi-3.5-vision-instruct
Microsoft
2024-08-23

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

Nova Pro

Phi-3.5-vision-instruct
Average performance across 3 common benchmarks

Nova Pro

Phi-3.5-vision-instruct
Performance comparison across key benchmark categories

Nova Pro

Phi-3.5-vision-instruct
Provider Availability & Performance
Available providers and their performance metrics

Nova Pro
Bedrock

Phi-3.5-vision-instruct

Nova Pro

Phi-3.5-vision-instruct