Skip to main content

Menu

LEVEL 0
0/5 XP
HomeAboutTopicsPricingMy VaultStatsPractice TestsCertifications

Categories

🎓 Certifications
🤖 Artificial Intelligence
☁️ Cloud and Infrastructure
💾 Data and Databases
💼 Professional Skills
🎯 Programming and Development
🔒 Security and Networking
📚 Specialized Topics
CheatGrid
HomeAboutTopicsPricingMy VaultStatsPractice TestsCertifications
LVLEVEL 0
0/5 XP
GitHub
© 2026 CheatGrid™. All rights reserved.
Privacy PolicyTerms of UseAboutContact

Google Gemini Cheat Sheet

Google Gemini Cheat Sheet

Back to Generative AI
Updated 2026-05-28
Next Topic: GPT Models Cheat Sheet

Google Gemini is a family of multimodal large language models by Google DeepMind, capable of understanding and generating text, images, audio, video, and code. As of May 2026, Gemini 3.5 Flash (released at Google I/O 2026) leads the stable lineup as the strongest agentic and coding model — outperforming Gemini 3.1 Pro on key benchmarks at 4× the speed of other frontier models — while Gemini 3.1 Pro Preview (2M token context) remains the flagship for deep reasoning. The API is accessible via two paths: the Gemini Developer API (API keys, Google AI Studio) and Vertex AI (enterprise GCP deployment with IAM). The official Python SDK is google-genai (pip install google-genai), offering both the classic generate_content and the new Interactions API (client.interactions.create()) designed for agentic workflows.

What This Cheat Sheet Covers

This topic spans 17 focused tables and 134 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Model VariantsTable 2: Multimodal CapabilitiesTable 3: API SDKs and IntegrationTable 4: Prompting and ConfigurationTable 5: Function Calling and Tool UseTable 6: Context and Memory ManagementTable 7: Safety and Content FilteringTable 8: Advanced FeaturesTable 9: API Access and PricingTable 10: Rate Limits and QuotasTable 11: Authentication and SecurityTable 12: Prompt Engineering TechniquesTable 13: Error Handling and TroubleshootingTable 14: Use Cases and ApplicationsTable 15: Comparison with Other ModelsTable 16: Developer Tools and ResourcesTable 17: Generative Media Models

Table 1: Model Variants

Each Gemini generation brings a different trade-off of intelligence, speed, and cost; choosing the right model — and knowing which are stable versus preview versus shutting down — is the single most important configuration decision in any Gemini project.

ModelExampleDescription
Gemini 3.5 Flash
model='gemini-3.5-flash'
• Current stable flagship — released May 19, 2026 (Google I/O 2026)
• outperforms Gemini 3.1 Pro on coding and agentic benchmarks; 4× faster than other frontier models
• 1M token context, 64K max output; thinking levels minimal/low/medium (default)/high
• free tier available; Computer Use not yet supported.
Gemini 3.1 Pro Preview
model='gemini-3.1-pro-preview'
• Flagship for complex reasoning, multimodal, and vibe-coding tasks
• 2M token context window — largest of any production model
• thinking_level enum: LOW, MEDIUM, HIGH; no free tier
• separate gemini-3.1-pro-preview-customtools endpoint for prioritizing custom tools.
Gemini 3.1 Flash-Lite
model='gemini-3.1-flash-lite'
• Most cost-efficient stable model (GA May 7, 2026; replaces Preview)
• optimized for high-volume agentic tasks, translation, simple data processing
• free tier available; shutdown May 7, 2027.
Gemini 3 Flash Preview
model='gemini-3-flash-preview'
• Earlier-generation preview — recommended migration to gemini-3.5-flash
• Agentic Vision: zooms, inspects, and manipulates images via code execution
• thinking_level for latency control; free tier available; no shutdown date announced.

More in Generative AI

  • Generative AI Cheat Sheet
  • GPT Models Cheat Sheet
  • Advanced RAG Patterns and Optimization Cheat Sheet
  • ColBERT and Late Interaction Retrieval Cheat Sheet
  • LlamaIndex Cheat Sheet
  • pgvector for Postgres Vector Search Cheat Sheet
View all 95 topics in Generative AI