Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 4.5% higher average benchmark score. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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.
8 months newer
Gemini 1.5 Flash 8B
2024-03-15
Gemini 2.0 Flash
2024-12-01
Cost per million tokens (USD)
Gemini 1.5 Flash 8B
Gemini 2.0 Flash
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 1.5 Flash 8B
Gemini 2.0 Flash
Gemini 2.0 Flash
2024-08-01
Gemini 1.5 Flash 8B
2024-10-01
Available providers and their performance metrics
Gemini 1.5 Flash 8B
Gemini 2.0 Flash
Gemini 1.5 Flash 8B
Gemini 2.0 Flash
Gemini 1.5 Flash 8B
Gemini 2.0 Flash