Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

GPT-4.1 nano
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents OpenAI's latest advancement in AI technology.

Nova Lite
Amazon
Nova Lite is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 70.7% across 27 benchmarks. It excels particularly in GSM8k (94.5%), ARC-C (92.4%), DocVQA (92.4%). It supports a 302K 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.

Nova Lite
Amazon
2024-11-20

GPT-4.1 nano
OpenAI
2025-04-14
4 months newer
Pricing Comparison
Cost per million tokens (USD)

GPT-4.1 nano

Nova Lite
Performance Metrics
Context window and performance specifications

GPT-4.1 nano

Nova Lite
Average performance across 4 common benchmarks

GPT-4.1 nano

Nova Lite
Performance comparison across key benchmark categories

GPT-4.1 nano

Nova Lite
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

Nova Lite
Bedrock

GPT-4.1 nano

Nova Lite