Comprehensive side-by-side LLM comparison
o3-mini leads with 18.4% higher average benchmark score. GPT-4.1 nano offers 780.3K more tokens in context window than o3-mini. GPT-4.1 nano is $5.00 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, o3-mini 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
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
2 months newer
o3-mini
OpenAI
2025-01-30
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
o3-mini
Context window and performance specifications
Average performance across 34 common benchmarks
GPT-4.1 nano
o3-mini
o3-mini
2023-09-30
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
o3-mini
GPT-4.1 nano
o3-mini
GPT-4.1 nano
o3-mini
Azure
OpenAI