Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 29.3% higher average benchmark score. Gemini 2.5 Flash-Lite offers 57.3K more tokens in context window than Gemini 1.5 Flash. Both models have similar pricing. Overall, Gemini 1.5 Flash is the stronger choice for coding tasks.
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.
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.
1 year newer
Gemini 1.5 Flash
2024-05-01
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
Gemini 1.5 Flash
Gemini 2.5 Flash-Lite
Context window and performance specifications
Average performance across 32 common benchmarks
Gemini 1.5 Flash
Gemini 2.5 Flash-Lite
Gemini 1.5 Flash
2023-11-01
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 1.5 Flash
Gemini 2.5 Flash-Lite
Gemini 1.5 Flash
Gemini 2.5 Flash-Lite
Gemini 1.5 Flash
Gemini 2.5 Flash-Lite