Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 23.4% higher average benchmark score. 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 2.0 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.
9 months newer
Gemini 1.5 Flash
2024-05-01
Gemini 2.0 Flash-Lite
2025-02-05
Cost per million tokens (USD)
Gemini 1.5 Flash
Gemini 2.0 Flash-Lite
Context window and performance specifications
Average performance across 30 common benchmarks
Gemini 1.5 Flash
Gemini 2.0 Flash-Lite
Gemini 1.5 Flash
2023-11-01
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 1.5 Flash
Gemini 2.0 Flash-Lite
Gemini 1.5 Flash
Gemini 2.0 Flash-Lite
Gemini 1.5 Flash
Gemini 2.0 Flash-Lite