Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 29.2% higher average benchmark score. Gemini 2.5 Flash-Lite is $10.75 cheaper per million tokens. Overall, Gemini 2.5 Pro 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.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). 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.
28 days newer
Gemini 2.5 Pro
2025-05-20
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash-Lite
Gemini 2.5 Pro
Context window and performance specifications
Average performance across 20 common benchmarks
Gemini 2.5 Flash-Lite
Gemini 2.5 Pro
Gemini 2.5 Flash-Lite
2025-01-01
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Gemini 2.5 Pro
Gemini 2.5 Flash-Lite
Gemini 2.5 Pro
Gemini 2.5 Flash-Lite
Gemini 2.5 Pro
ZeroEval