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Gemini 2.0 is Google’s flagship AI model designed for the "agentic era," enabling AI agents to perform multi-step tasks autonomously under human supervision. It processes text, audio, images, and video natively, supports 1M-token context windows (equivalent to ~700,000 words), and introduces multimodal outputs (text, images, audio) and native tool use (e.g., Google Search, code execution). The model outperforms predecessors like Gemini 1.5 Pro in coding (92.9% on Natural2Code) and math (89.7% on MATH benchmarks) while being twice as fast

Key Features

Multimodal Live API: Real-time bidirectional audio/video streaming for interactive troubleshooting or training.

1M-Token Context: Processes 2 hours of video, 19 hours of audio, or 2,000 pages of text in one go.

Native Tool Integration: Automatically invokes Google Search, code execution, or user-defined functions during responses.

Image & Audio Generation: Generates images with SynthID watermarks and multilingual text-to-speech (TTS) in 5+ languages.

Enhanced Agentic Capabilities: Supports compositional function calling (e.g., invoking get_location() and get_weather() sequentially).

Use Cases

Enterprise Automation: Automate customer support with real-time multilingual interactions. Process invoices using OCR and Google Search integration.

Content Creation: Generate blog posts with embedded images or localized voiceovers. Edit images conversationally (e.g., "Turn this car into a convertible").

Research & Education: Use NotebookLM (powered by Gemini 2.0) to summarize PDFs, videos, and websites into actionable insights. Solve competition-level math problems (63% accuracy on HiddenMath).

Developer Tools: Build AI agents for browser automation (Project Mariner) or coding assistance