Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 45.3% higher average benchmark score. GPT-4.1 offers 552.3K more tokens in context window than GPT-5 mini. GPT-5 mini is $7.75 cheaper per million tokens. Overall, GPT-4.1 is the stronger choice for coding tasks.
OpenAI
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). 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-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K 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 2025, it represents OpenAI's latest advancement in AI technology.
3 months newer
GPT-4.1
OpenAI
2025-04-14
GPT-5 mini
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-4.1
GPT-5 mini
Context window and performance specifications
Average performance across 31 common benchmarks
GPT-4.1
GPT-5 mini
GPT-5 mini
2024-05-30
GPT-4.1
2024-06-01
Available providers and their performance metrics
GPT-4.1
OpenAI
GPT-5 mini
GPT-4.1
GPT-5 mini
GPT-4.1
GPT-5 mini
OpenAI
ZeroEval