Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-4.1 mini offers 23.6K more tokens in context window than Gemini 1.5 Flash. Gemini 1.5 Flash is $1.25 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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 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.
11 months newer
Gemini 1.5 Flash
2024-05-01
GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)
Gemini 1.5 Flash
GPT-4.1 mini
Context window and performance specifications
Average performance across 47 common benchmarks
Gemini 1.5 Flash
GPT-4.1 mini
Gemini 1.5 Flash
2023-11-01
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
Gemini 1.5 Flash
GPT-4.1 mini
Gemini 1.5 Flash
GPT-4.1 mini
Gemini 1.5 Flash
GPT-4.1 mini
OpenAI
ZeroEval