Comprehensive side-by-side LLM comparison
Nova Pro leads with 23.6% higher average benchmark score. Nova Pro offers 344.0K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $3.85 cheaper per million tokens. Overall, Nova Pro is the stronger choice for coding tasks.
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.
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
2 months newer
Nova Pro
Amazon
2024-11-20
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Cost per million tokens (USD)
Nova Pro
Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 38 common benchmarks
Nova Pro
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
Nova Pro
Bedrock
Phi-4-multimodal-instruct
Nova Pro
Phi-4-multimodal-instruct
Nova Pro
Phi-4-multimodal-instruct
DeepInfra