How did Google's Gemini 3 advance multimodal AI?
It doesn't just read text - it understands images, video, audio, and code all at once.
The answer
Google's Gemini 3, released in 2025, advanced the state of multimodal AI by seamlessly processing and reasoning across text, images, video, audio, and code in a single model. Unlike earlier systems that handled different modalities separately and stitched results together, Gemini 3 was natively multimodal - trained from the ground up on diverse data types simultaneously. This allowed it to perform tasks like analyzing a video of a science experiment, explaining the physics involved, writing the code to simulate it, and generating follow-up diagrams - all in one response. The model also demonstrated improved efficiency, running on Google's custom TPU v5p chips with better performance per watt than previous generations, addressing growing concerns about AI's energy consumption.
Source: Google Research Blog
- gemini
- multimodal-ai
- deep-learning
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