Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 10.3% higher average benchmark score. Gemini 2.0 Flash-Lite offers 912.4K more tokens in context window than GPT-4o mini. Both models have similar pricing. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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 2025, it represents Google's latest advancement in AI technology.
OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. 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 OpenAI's latest advancement in AI technology.
6 months newer
GPT-4o mini
OpenAI
2024-07-18
Gemini 2.0 Flash-Lite
2025-02-05
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
GPT-4o mini
Context window and performance specifications
Average performance across 19 common benchmarks
Gemini 2.0 Flash-Lite
GPT-4o mini
GPT-4o mini
2023-10-01
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
GPT-4o mini
Gemini 2.0 Flash-Lite
GPT-4o mini
Gemini 2.0 Flash-Lite
GPT-4o mini
Azure