Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

GPT-4.1 mini
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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.

GPT-4.1 nano
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.

GPT-4.1 mini
OpenAI
2025-04-14

GPT-4.1 nano
OpenAI
2025-04-14
0 days newer
Pricing Comparison
Cost per million tokens (USD)

GPT-4.1 mini

GPT-4.1 nano
Performance Metrics
Context window and performance specifications

GPT-4.1 mini

GPT-4.1 nano
Average performance across 25 common benchmarks

GPT-4.1 mini

GPT-4.1 nano
Performance comparison across key benchmark categories

GPT-4.1 mini

GPT-4.1 nano
GPT-4.1 mini
2024-05-31
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 mini
ZeroEval
OpenAI

GPT-4.1 nano
OpenAI

GPT-4.1 mini

GPT-4.1 nano