Comprehensive side-by-side LLM comparison
GPT-4o leads with 28.0% higher average benchmark score. GPT-4.1 nano offers 936.0K more tokens in context window than GPT-4o. GPT-4.1 nano is $12.00 cheaper per million tokens. Overall, GPT-4o is the stronger choice for coding tasks.
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.
OpenAI
GPT-4o is a multimodal language model developed by OpenAI. The model shows competitive results across 39 benchmarks. It excels particularly in AI2D (94.2%), DocVQA (92.8%), ChartQA (85.7%). It supports a 144K token context window for handling large documents. 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 2024, it represents OpenAI's latest advancement in AI technology.
8 months newer
GPT-4o
OpenAI
2024-08-06
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
GPT-4o
Context window and performance specifications
Average performance across 43 common benchmarks
GPT-4.1 nano
GPT-4o
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
GPT-4o
GPT-4.1 nano
GPT-4o
GPT-4.1 nano
GPT-4o
Azure
OpenAI