Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 23.3% higher average benchmark score. Gemini 2.5 Flash offers 920.6K more tokens in context window than o1-mini. Gemini 2.5 Flash is $12.20 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Overall, Gemini 2.5 Flash is the stronger choice for coding tasks.
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). 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 Google's latest advancement in AI technology.
OpenAI
o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K 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.
8 months newer
o1-mini
OpenAI
2024-09-12
Gemini 2.5 Flash
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Flash
o1-mini
Context window and performance specifications
Average performance across 19 common benchmarks
Gemini 2.5 Flash
o1-mini
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Flash
ZeroEval
Gemini 2.5 Flash
o1-mini
Gemini 2.5 Flash
o1-mini
o1-mini
Azure
OpenAI