In short
Gemini 3 Pro is a transformer-based multimodal model that processes text, images, audio, and video while accessing Google's search index in real-time. It is best suited for applications requiring dynamic, up-to-date information retrieval combined with complex reasoning and content generation.
Frequently asked
- What data types can Gemini 3 Pro process?
- The model is optimized to handle and integrate diverse data types, including text, images, audio, and video, from its foundational training.
- How does Gemini 3 Pro access current information?
- It features native search integration that allows the model to directly access and synthesize information from Google's search index in real-time during inference.
- What is the approximate size of the Gemini 3 Pro model?
- The model offers deep knowledge and sophisticated understanding with approximately 2 trillion parameters.
- What are the main limitations of using Gemini 3 Pro?
- Key cons include proprietary access without open-source transparency, high computational costs, potential bias from training data, and dependency on Google's cloud infrastructure.
- What is the API pricing for Gemini 3 Pro?
- The API costs $7 per 1 million input tokens and $21 per 1 million output tokens, with a free tier available via the Gemini app.