Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 29.1% higher average benchmark score. Gemini 1.5 Pro offers 1.0M more tokens in context window than Gemini 2.0 Flash-Lite. Gemini 2.0 Flash-Lite is $12.13 cheaper per million tokens. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 Pro
2024-05-01
Gemini 2.0 Flash-Lite
2025-02-05
Cost per million tokens (USD)
Gemini 1.5 Pro
Gemini 2.0 Flash-Lite
Context window and performance specifications
Average performance across 31 common benchmarks
Gemini 1.5 Pro
Gemini 2.0 Flash-Lite
Gemini 1.5 Pro
2023-11-01
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 1.5 Pro
Gemini 2.0 Flash-Lite
Gemini 1.5 Pro
Gemini 2.0 Flash-Lite
Gemini 1.5 Pro
Gemini 2.0 Flash-Lite