# Gemini > Google Gemini AI models for multimodal tasks. Use for multimodal AI. Use when this capability is needed. - Skill: `tomevault-io/gemini-15` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/gemini-15` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/gemini-15/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/gemini-15 --- # Gemini Gemini is Google's native multimodal model. Uniquely, it accepts **video** and huge context (2M+ tokens) natively. 2025 sees Gemini 2.0/3.0. ## When to Use - **Massive Context**: "Here is a 1-hour video. Find the timestamp where..." - **Multimodal Live**: Real-time voice/video interaction. - **Google Ecosystem**: Integrated with Vertex AI, Search (Grounding), and Workspace. ## Core Concepts ### Models - **Pro**: The best all-rounder. - **Flash**: Extremely fast and cheap. High throughput. - **Ultra**: The largest reasoning model. ### Grounding Connects the model to Google Search to provide citations and up-to-date info. ### Context Initial Caching Cache the context (e.g., a massive manual) to reduce cost/latency on subsequent queries. ## Best Practices (2025) **Do**: - **Use Flash for RAG**: 2.0 Flash is smart enough for most RAG & cheaper/faster. - **Use Grounding**: Eliminate hallucinations by enforcing "Google Search" grounding. - **Upload Video**: Don't transcribe video manually; Gemini watches it. **Don't**: - **Don't confuse with PaLM**: Gemini replaced PaLM 2 completely. ## References - [Gemini API Documentation](https://ai.google.dev/) --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/g1joshi) — claim your Tome and manage your conversions.