Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 46.0% higher average benchmark score. Overall, Gemini 2.0 Flash is the stronger choice for coding tasks.
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 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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.
1 month newer
Gemini 2.0 Flash
2024-12-01
Gemini 2.0 Flash Thinking
2025-01-21
Context window and performance specifications
Average performance across 14 common benchmarks
Gemini 2.0 Flash
Gemini 2.0 Flash Thinking
Gemini 2.0 Flash
2024-08-01
Gemini 2.0 Flash Thinking
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
Gemini 2.0 Flash Thinking
Gemini 2.0 Flash
Gemini 2.0 Flash Thinking
Gemini 2.0 Flash
Gemini 2.0 Flash Thinking