Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 14.3% higher average benchmark score. GPT-4.1 nano offers 23.6K more tokens in context window than Gemini 1.5 Flash. Both models have similar pricing. Overall, Gemini 1.5 Flash is the stronger choice for coding tasks.
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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 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 Flash
2024-05-01
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
Gemini 1.5 Flash
GPT-4.1 nano
Context window and performance specifications
Average performance across 43 common benchmarks
Gemini 1.5 Flash
GPT-4.1 nano
Gemini 1.5 Flash
2023-11-01
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
Gemini 1.5 Flash
GPT-4.1 nano
Gemini 1.5 Flash
GPT-4.1 nano
Gemini 1.5 Flash
GPT-4.1 nano
OpenAI