Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 20.2% higher average benchmark score. Gemini 2.5 Flash-Lite is $2.30 cheaper per million tokens. 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.
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.
28 days newer
Gemini 2.5 Flash
2025-05-20
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash
Gemini 2.5 Flash-Lite
Context window and performance specifications
Average performance across 17 common benchmarks
Gemini 2.5 Flash
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite
2025-01-01
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Flash
ZeroEval
Gemini 2.5 Flash
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite