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Agentic video understanding in Gemini: Developer Guide

Developer guide for on-demand, agentic video analysis in the Gemini API

From the Xiry library · Updated 10 October 2026

Visit aistudio.google.com ↗

This guide covers Google's agentic video understanding feature in the Gemini API, which replaces uniform 1 FPS frame sampling with a server-side tool loop. By inspecting transcripts first and pulling targeted frame slices or audio only when needed, it cuts token usage by up to 88% and reduces analysis costs on long videos.

What it's for

  • Analyze long-form recordings like webinars, lectures, or earnings calls without paying to ingest every frame
  • Pinpoint exact timestamps or fine-grained visual actions across lengthy footage
  • Query public YouTube videos directly using natural language prompts

Features

  • Pass-by-reference video ingestion to minimize initial context consumption
  • Iterative Think-Act-Observe tool loop for targeted inspection
  • Transcript-first searching to answer questions before loading video frames
  • Adaptive frame rate zooming (0.1 to 10 FPS) for specific time windows
  • Mixed-mode support to pair static short clips with agentic long references
  • Native support for YouTube URLs in API requests
  • Compatible with Gemini 3.8 Flash, 3.7 Flash, and Flash-Lite models

Pricing

Freemium. Guide is free; API usage billed per base Gemini token rates, with 50% discount via Batch API

Details

Type
Article or course
Category
AI
Topic
Multimodal AI
Open source
No
Platforms
Web, API
For
Developers and AI engineers building multimodal applications with video
Alternative to
Uniform frame sampling video analysis, Twelve Labs
Tags
gemini, video, google ai, llm, api, multimodal

Why it was saved

  • @GoogleAIStudio, 1 September 2026: How to get started building with the new modality

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Updated