Google Gemini
Google’s multimodal LLM family with long context, via the Gemini API and Vertex AI.
Pricing
Free tier
Usage-based
Adoption
→StableLicense
Proprietary
Data freshness
UnverifiedOverview
What is Google Gemini?
Gemini is Google DeepMind’s multimodal model family (text, image, audio, video) with very long context windows, accessible via the Gemini API and Vertex AI.
Key differentiator
“Natively multimodal models with the longest mainstream context windows.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Million-token context for large documents/codebases
Text, image, audio, and video in one model family
Low-cost fast tier for high volume
↓ Weaknesses
Deepest features via Vertex AI/GCP
Fewer third-party integrations historically
Fit analysis
Who is it for?
✓ Best for
Multimodal and long-context tasks
Million-token context and native media
Teams on Google Cloud
Native Vertex AI deployment
Cost structure
Pricing
Free Tier
Available
Free tier on Google AI Studio with rate limits
Starts at
$0.075/1M input tokens (Flash)
Model
Usage-based
Enterprise
Available
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with Google Gemini
Step-by-step setup guide with code examples and common gotchas.