Comprehensive side-by-side LLM comparison
GPT-4 leads with 2.2% higher average benchmark score. GPT-4.1 nano offers 1.0M more tokens in context window than GPT-4. GPT-4.1 nano is $89.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.
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.
1 year newer
GPT-4
OpenAI
2023-06-13
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4
GPT-4.1 nano
Context window and performance specifications
Average performance across 35 common benchmarks
GPT-4
GPT-4.1 nano
GPT-4
2022-12-31
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4
Azure
OpenAI
GPT-4
GPT-4.1 nano
GPT-4
GPT-4.1 nano
GPT-4.1 nano
OpenAI