Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 13.3% higher average benchmark score. GPT-4.1 nano offers 948.2K more tokens in context window than GPT-4 Turbo. GPT-4.1 nano is $39.50 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
OpenAI
GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
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 Turbo
OpenAI
2024-04-09
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4 Turbo
GPT-4.1 nano
Context window and performance specifications
Average performance across 29 common benchmarks
GPT-4 Turbo
GPT-4.1 nano
GPT-4 Turbo
2023-12-31
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4 Turbo
Azure
OpenAI
GPT-4 Turbo
GPT-4.1 nano
GPT-4 Turbo
GPT-4.1 nano
GPT-4.1 nano
OpenAI