Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 18.5% higher average benchmark score. Gemini 1.5 Pro offers 1.0M more tokens in context window than GPT-4.1 nano. GPT-4.1 nano is $12.00 cheaper per million tokens. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.
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.
11 months newer
Gemini 1.5 Pro
2024-05-01
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
Gemini 1.5 Pro
GPT-4.1 nano
Context window and performance specifications
Average performance across 44 common benchmarks
Gemini 1.5 Pro
GPT-4.1 nano
Gemini 1.5 Pro
2023-11-01
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
Gemini 1.5 Pro
GPT-4.1 nano
Gemini 1.5 Pro
GPT-4.1 nano
Gemini 1.5 Pro
GPT-4.1 nano
OpenAI