Comprehensive side-by-side LLM comparison
o4-mini leads with 2.5% higher average benchmark score. GPT-4.1 nano offers 780.3K more tokens in context window than o4-mini. GPT-4.1 nano is $5.00 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K 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 2025, it represents OpenAI's latest advancement in AI technology.
2 days newer
GPT-4.1 nano
OpenAI
2025-04-14
o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
GPT-4.1 nano
o4-mini
Context window and performance specifications
Average performance across 30 common benchmarks
GPT-4.1 nano
o4-mini
GPT-4.1 nano
2024-05-31
o4-mini
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
o4-mini
GPT-4.1 nano
o4-mini
GPT-4.1 nano
o4-mini
OpenAI