Glean vs Google AI Studio
A detailed side-by-side comparison to help you choose the right AI productivity agent for your needs.
Best enterprise AI search across all company applications
Glean
Glean is an enterprise AI search and knowledge platform that indexes content across 100+ business applications and surfaces permission-aware results so employees can find and use company information w...
AI Models
Proprietary Glean retrieval modelsGPT-4oCustom enterprise search models
Key Features
- 100+ native connectors indexing all enterprise applications
- Permission-aware search respecting source system access controls
- Work AI synthesizes answers from multiple sources with citations
- People graph for expert and project ownership discovery
- Glean Agents for multi-step task completion across applications
Pricing
Business — Contact for pricing
Enterprise — Custom pricing
Pros
- 100+ connectors provide the broadest enterprise application coverage
- Permission-aware results prevent accidental information exposure
- Agents extend from search to action across connected applications
Cons
- Enterprise-only pricing with no self-serve option for smaller teams
- Full value requires connecting all company applications, which takes time
Best for experimenting with Google's AI models
Google AI Studio
Google AI Studio is Google's free platform for experimenting with Gemini models, rising from #36 to #25 on the a16z Top 100 Gen AI Apps web list. The platform provides direct access to Google's latest...
AI Models
Gemini 2.0Gemini 1.5 Pro (2M context)Gemini FlashPaLM 2
Key Features
- Free access to latest Gemini models
- 2 million token context window for massive document analysis
- Structured Prompts for reusable prompt templates
- Model tuning on custom datasets
- Auto-generated API code in Python, JavaScript, and more
Pricing
Free — $0
Pay-as-you-go — From $0.075/million tokens
Pros
- Completely free access to frontier Gemini models
- 2M token context window enables unprecedented document analysis
- Seamless path from experimentation to production via API
Cons
- Rate limits on free tier restrict high-volume experimentation
- Tuning features require Google Cloud account setup