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

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.

o1-preview
OpenAI
o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). The model shows particular specialization in math tasks with an average performance of 88.1%. It supports a 161K 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.

o1-preview
OpenAI
2024-09-12

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

GPT-4.1 nano

o1-preview
Performance Metrics
Context window and performance specifications

GPT-4.1 nano

o1-preview
Average performance across 3 common benchmarks

GPT-4.1 nano

o1-preview
Performance comparison across key benchmark categories

GPT-4.1 nano

o1-preview
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

o1-preview
Azure
OpenAI

GPT-4.1 nano

o1-preview