Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 5.1% higher average benchmark score. Gemini 2.5 Flash offers 57.3K more tokens in context window than Gemini 2.0 Flash-Lite. Gemini 2.0 Flash-Lite is $2.43 cheaper per million tokens. Overall, Gemini 2.5 Flash 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.
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.
3 months newer
Gemini 2.0 Flash-Lite
2025-02-05
Gemini 2.5 Flash
2025-05-20
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
Gemini 2.5 Flash
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 2.0 Flash-Lite
Gemini 2.5 Flash
Gemini 2.0 Flash-Lite
2024-06-01
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Gemini 2.5 Flash
Gemini 2.0 Flash-Lite
Gemini 2.5 Flash
Gemini 2.0 Flash-Lite
Gemini 2.5 Flash
ZeroEval