Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Flash offers 57.3K more tokens in context window than Gemini 2.0 Flash. Gemini 2.0 Flash is $2.30 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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.
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
5 months newer
Gemini 2.0 Flash
2024-12-01
Gemini 2.5 Flash
2025-05-20
Cost per million tokens (USD)
Gemini 2.0 Flash
Gemini 2.5 Flash
Context window and performance specifications
Average performance across 22 common benchmarks
Gemini 2.0 Flash
Gemini 2.5 Flash
Gemini 2.0 Flash
2024-08-01
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.0 Flash
Gemini 2.5 Flash
Gemini 2.0 Flash
Gemini 2.5 Flash
Gemini 2.0 Flash
Gemini 2.5 Flash
ZeroEval