AI · AI model
Agentic Video in Gemini
Dynamic video inspection for Gemini models that cuts token usage and cost
Agentic video understanding is a Gemini API capability that lets models dynamically search, scan, and inspect target video segments instead of ingesting full videos at a static frame rate. It cuts token consumption by up to 88% and lowers processing costs by up to 66% while improving accuracy on long-form video tasks. Available across Gemini models like 3.7 Flash, it supports both direct video uploads and YouTube URLs.
What it's for
- Search multi-hour lectures and keynotes for specific moments or details without blowing token budgets
- Pinpoint sub-second cut boundaries and state changes for automated video editing
- Count repetitive physical actions or track specific objects across video footage
- Detect subtle visual anomalies by dynamically resampling candidate time windows at higher frame rates
Features
- Dynamic scrubbing across visual frames, audio, and transcripts
- Support for multi-hour video uploads and YouTube links
- Internal tool invocation within an agentic reasoning loop to load specific clips
- Up to 88% reduction in token consumption compared to standard 1 FPS static processing
- Up to 66% reduction in query costs
- Configurable via Google AI Studio and the Gemini Enterprise Agent Platform API
Pricing
Paid. Billed via Gemini API token usage in Google AI Studio and Gemini Enterprise Agent Platform
Details
- Type
- AI model
- Category
- AI
- Topic
- Multimodal AI
- Open source
- No
- Platforms
- API, Web
- For
- Developers and AI engineers building search, indexing, or editing tools for long-form video
- Alternative to
- Twelve Labs, Static Gemini video prompting
- Tags
- gemini, video understanding, multimodal, deepmind, api, video search
Why it was saved
- @vamsibatchuk: Long-video Q&A at a fraction of the token cost; a practical building block for search-over-video apps.
Related
Developer guide for on-demand, agentic video analysis in the Gemini API
Conversational multimodal AI model for step-by-step video editing and generation
Web playground for prototyping and building Gemini-powered applications.
Real-time multimodal voice and screen-sharing AI assistant powered by Gemini 2.0
Extract structured JSON from PDFs using natural language instructions and Gemini
Developer API for Grok models covering text, multimodal, voice, and vision
Updated