Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. 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-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.
10 months newer
Gemini 1.5 Flash 8B
2024-03-15
Gemini 2.0 Flash-Lite
2025-02-05
Cost per million tokens (USD)
Gemini 1.5 Flash 8B
Gemini 2.0 Flash-Lite
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 1.5 Flash 8B
Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite
2024-06-01
Gemini 1.5 Flash 8B
2024-10-01
Available providers and their performance metrics
Gemini 1.5 Flash 8B
Gemini 2.0 Flash-Lite
Gemini 1.5 Flash 8B
Gemini 2.0 Flash-Lite
Gemini 1.5 Flash 8B
Gemini 2.0 Flash-Lite