Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 1.5 Flash offers 756.8K more tokens in context window than o3-mini. Gemini 1.5 Flash is $4.75 cheaper per million tokens. Gemini 1.5 Flash supports multimodal inputs. 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
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
9 months newer
Gemini 1.5 Flash
2024-05-01
o3-mini
OpenAI
2025-01-30
Cost per million tokens (USD)
Gemini 1.5 Flash
o3-mini
Context window and performance specifications
Average performance across 44 common benchmarks
Gemini 1.5 Flash
o3-mini
o3-mini
2023-09-30
Gemini 1.5 Flash
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Flash
o3-mini
Gemini 1.5 Flash
o3-mini
Gemini 1.5 Flash
o3-mini
Azure
OpenAI