Gemini
Google's AI assistant with deep integration into Gmail, Docs, Sheets, and Google Search.
Editorial take
Gemini is the best AI assistant for teams deeply embedded in Google Workspace. With Gemini 3.5 (announced at Google I/O 2026), it has moved from a suggestion engine to a genuine agent - able to execute multi-step tasks across Gmail, Docs, Drive, and Search autonomously. The 1M token context window and new Gemini Omni multimodal model give it capabilities no other assistant can match on Google surfaces. For developers, Google Antigravity CLI brings Gemini 3.5 to the terminal for the first time.
What is Gemini?
Gemini is Google's AI assistant powered by Gemini 3.5, Google's latest model series with agentic capabilities announced at Google I/O 2026. It integrates natively with Gmail, Google Docs, Sheets, Drive, and Search. Gemini Advanced (included in Google One AI Premium) provides access to Gemini 3.5 and full Workspace integration.
Gemini 3.5 maintains the 1 million token context window from Gemini 2.5 Pro and adds agentic action capabilities for multi-step task execution. The Gemini Omni model handles multimodal tasks across text, image, audio, and video as both input and output. Developers can build production agents using Managed Agents in the Gemini API with support for background tasks and remote MCP.
Best for
Google Workspace users who want AI features integrated into their existing apps
Key strength
Native Google Docs, Gmail and Sheets integration
Score breakdown (out of 5)
What you would use it for
- →Drafting and summarizing emails directly inside Gmail without switching tabs
- →Analyzing and editing documents within Google Docs using AI assistance
- →Generating and explaining formulas in Google Sheets from natural language
- →Processing very large documents with the 1M token context window
- →Real-time voice conversations with Gemini Live for hands-free AI assistance
Pros & Cons
👍 Pros
- ✓Tightest Google Workspace integration - available directly in Gmail, Docs, and Sheets
- ✓1M token context window for processing large documents and video
- ✓Gemini 3.5 adds agentic action capabilities - the model can execute multi-step tasks, not just suggest
- ✓Gemini Omni enables multimodal input and output in one model
- ✓Google One AI Premium includes 2TB storage at $19.99/month
- ✓Managed Agents in Gemini API enables production deployment of autonomous agents
👎 Cons
- ✗Developer adoption for coding tools still lags Claude Code and Cursor
- ✗Privacy concerns for users uncomfortable with Google accessing their Workspace data
- ✗No affiliate program
Key Features
- ✓ Native integration with Gmail, Docs, Sheets, Drive, and Slides
- ✓ 1 million token context window (Gemini 3.5 and 2.5 Pro)
- ✓ Gemini Omni - multimodal input and output (text, image, audio, video)
- ✓ Real-time Google Search integration
- ✓ Gemini Live - real-time voice conversations
- ✓ Code generation and debugging with Gemini 3.5
- ✓ Agentic workflows - autonomous multi-step task execution
- ✓ Managed Agents in Gemini API for production-ready agent development
- ✓ Google Antigravity CLI - terminal-native AI coding tool
Available on
Integrates with
Gemini Pricing
✅ Gemini has a free plan - no credit card required to start.
Free
- ✓Gemini 2.0 Flash
- ✓Text, image, and audio input
- ✓Google Search integration
- ✓Connect to Gmail, Docs, Drive
Advanced (Google One AI Premium)
- ✓Gemini 3.5 (I/O 2026)
- ✓2TB Google One storage
- ✓Deep Workspace integration
- ✓Priority access to new features
- ✓Gemini in Gmail, Docs, Sheets, Slides
Business (Gemini for Workspace)
- ✓Gemini in all Workspace apps
- ✓Admin controls
- ✓Enterprise data protection
- ✓No training on your data
Enterprise
- ✓Everything in Business
- ✓Custom models
- ✓Advanced compliance
- ✓Dedicated support
Gemini vs Competitors
AI models powering Gemini
Google - 1M ctx
Most intelligent workhorse model yet for coding and agents
Specs & pricing →Google - 1M ctx
More token efficient and cheaper workhorse model for coding and knowledge work
Specs & pricing →Google - 1000000 ctx
Cost-efficient cybersecurity-focused model for vulnerability detection and patching
Specs & pricing →Latest news
From the blog
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Aug 18, 2026
Researchers extract hidden reasoning from LLM APIs. Proprietary model internals are leaking.
Security research reveals methods to extract internal reasoning traces and model capabilities from proprietary LLM APIs, raising concerns about intellectual property theft and prompt injection vulnerabilities.
Aug 17, 2026
Claude now marks its own output. Anthropic's watermarking approach explained.
Anthropic published official guidance on how Claude watermarks and marks AI-generated content for transparency. The documentation outlines Claude's approach to content authenticity and detection.
Aug 15, 2026
Developer resources
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