Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 5.5% higher average benchmark score. Gemini 2.5 Flash-Lite offers 920.6K more tokens in context window than o1-mini. Gemini 2.5 Flash-Lite is $14.50 cheaper per million tokens. Gemini 2.5 Flash-Lite supports multimodal inputs. Overall, Gemini 2.5 Flash-Lite is the stronger choice for coding tasks.
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 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.
9 months newer
o1-mini
OpenAI
2024-09-12
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash-Lite
o1-mini
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 2.5 Flash-Lite
o1-mini
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
o1-mini
Gemini 2.5 Flash-Lite
o1-mini
Gemini 2.5 Flash-Lite
o1-mini
Azure
OpenAI