Gemini 3: Next-Generation AI Use Cases
An interactive exploration of powerful, real-world applications enabled by the advanced capabilities of the Gemini 3 model family.
Fueling the Future: Key Capabilities
These foundational advancements are not just incremental; they unlock entirely new categories of tasks. The use cases below are built upon these core pillars.
2M+ Tokens
Unprecedented long-context window for processing entire codebases, multiple books, or hours of video.
Native Multimodality
Natively understands and reasons across interleaved text, audio, and video streams without separate models.
Advanced Reasoning
Complex, multi-step problem-solving for tasks in science, finance, and complex debugging.
On-Device Speed
Highly optimized models that can run sophisticated tasks directly on-device for speed and privacy.
Connecting Capabilities to Use Cases
This chart illustrates which core capabilities power the most explored use cases. "Long Context" is a dominant enabler, opening up analysis of previously impossible-to-process data sizes.
Interactive Use Case Explorer
Select a domain to explore how Gemini 3 is being applied. These examples demonstrate a significant leap in AI-powered analysis, creation, and interaction.
Full Codebase Analysis
Analyze an entire repository (1M+ tokens) to identify deep-seated bugs, explain complex architecture, or suggest performance optimizations across all files.
Provide a 2-hour movie file and get a detailed, timestamped scene-by-scene summary, character-arc analysis, or find specific visual moments.
Analyze a 1-hour audio earnings call and its transcript simultaneously. Extract key financial metrics, analyze executive sentiment, and cross-reference spoken nuance with slide data.
Ingest an entire legacy COBOL or Java 1.4 codebase and generate a modern, idiomatic Python or Go equivalent, complete with test stubs.
Submit a 400-page novel manuscript (150k+ words) and receive a comprehensive critique on plot holes, character consistency, and pacing.
Analyze 10 years of quarterly and annual reports (1M+ tokens) to identify long-term trends, extract normalized data, and summarize strategic shifts.
Upload hours of raw footage. Ask "find all the clips where the dog catches the frisbee" and get an instant, editable timeline of just those moments.
Feed the model an entire (e.g., Stripe, AWS) API documentation. Get a conversational expert that can write complex integration code and answer obscure questions.
Create a tutor fed with an entire curriculum (textbooks, lectures, problem sets) that can generate novel explanations and practice problems.
