Gemini 2.0 Flash
Next-gen multimodal AI for real-time agentic experiences with 1M-token context
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Gemini 2.0 Flash, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
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