Comprehensive side-by-side LLM comparison
Nova Pro leads with 3.1% higher average benchmark score. Nova Pro offers 344.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $3.80 cheaper per million tokens. Nova Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
2 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Nova Pro
Amazon
2024-11-20
Cost per million tokens (USD)
Nova Pro
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 51 common benchmarks
Nova Pro
Phi-3.5-mini-instruct
Available providers and their performance metrics
Nova Pro
Bedrock
Phi-3.5-mini-instruct
Nova Pro
Phi-3.5-mini-instruct
Nova Pro
Phi-3.5-mini-instruct
Azure