Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 22.3% 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 is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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.
7 months newer
Gemini 1.5 Flash
2024-05-01
Gemini 2.0 Flash
2024-12-01
Cost per million tokens (USD)
Gemini 1.5 Flash
Gemini 2.0 Flash
Context window and performance specifications
Average performance across 27 common benchmarks
Gemini 1.5 Flash
Gemini 2.0 Flash
Gemini 1.5 Flash
2023-11-01
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 1.5 Flash
Gemini 2.0 Flash
Gemini 1.5 Flash
Gemini 2.0 Flash
Gemini 1.5 Flash
Gemini 2.0 Flash