Comprehensive side-by-side LLM comparison
Nova Pro leads with 10.3% higher average benchmark score. GPT-4.1 mini offers 480.3K more tokens in context window than Nova Pro. GPT-4.1 mini is $2.00 cheaper per million tokens. Overall, Nova Pro is the stronger choice for coding tasks.
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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.
4 months newer
Nova Pro
Amazon
2024-11-20
GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 mini
Nova Pro
Context window and performance specifications
Average performance across 52 common benchmarks
GPT-4.1 mini
Nova Pro
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
ZeroEval
GPT-4.1 mini
Nova Pro
GPT-4.1 mini
Nova Pro
Nova Pro
Bedrock