Access Google’s powerful Gemini AI models for multimodal capabilities including text generation, image analysis, and large document processing.

Step-by-Step Guide

Step 1: Search for Gemini API

Go to google.com and search for “Gemini API key”. Google Search for Gemini API Key Alternative Direct Access:

Step 2: Access Google AI Studio

Click on the “Google AI Studio API Key” link in search results to open the Google AI for Developers page.

Step 3: Get Your API Key

Click the blue “Get an API key” button to start the process. Google AI Studio Homepage

Step 4: Sign In to Google

Existing User:
  • Sign in with your Google account credentials
  • Use any Gmail, Google Workspace, or personal Google account
New User:
  • Create a new Google account if needed
  • Complete email verification process

Step 5: Accept Terms and Conditions

Review and accept the Google AI Terms of Service and usage policies for the Gemini API.

Step 6: Access Key Management

Click “Get API key” again to proceed to the API key management interface. API Key Management Interface

Step 7: Create New API Key

If you have existing keys: They will be displayed here For new keys: Click “Create API key” to generate a fresh key

Step 8: Review Safety Guidelines

Read and accept the safety and security reminder about proper API key usage and protection.

Step 9: Choose Project Setup

Select your preferred option: Option A: Existing Project
  • Use an existing Google Cloud project if available
  • Good for organizations with existing GCP setup
Option B: New Project (Recommended)
  • Choose “Create API key in new project”
  • Best for individual developers and new integrations
Project Selection

Step 10: Secure Your API Key

  1. Copy immediately: Your API key will be displayed - copy it now
  2. Store securely: Save in password manager or secure environment
  3. Never share publicly: Keep it private and confidential
  4. Monitor usage: Check usage regularly in AI Studio dashboard
Copy and Secure API Key

Step 11: Add to Weam

Integrate your Gemini API key with Weam:
  1. Open Weam and go to SettingsConfigurations
  2. Select Gemini as your provider
  3. Paste your API key in the configuration field
  4. Save and test with a multimodal prompt (text + image if available)

Gemini Model Overview (2025)

Available Models

ModelBest ForContext LengthSpeedCapabilities
Gemini 2.5 ProMost advanced tasks1M tokensModerateExperimental, cutting-edge
Gemini 2.0 FlashBalanced performance1M tokensFastAgent-driven applications
Gemini 1.5 ProProduction workloads1M tokensModerateStable, reliable
Gemini 1.5 FlashQuick responses1M tokensFastestHigh-volume applications

Model Selection for Weam

General Recommendations:
  • Gemini 1.5 Flash: Daily chat and quick tasks
  • Gemini 1.5 Pro: Complex analysis and reasoning
  • Gemini 2.0 Flash: Experimental features and agent workflows
  • Large Documents: Any model (all support 1M token context)

Multimodal Capabilities

What Gemini Can Process

Text Processing:
  • Natural language understanding and generation
  • Code analysis and generation
  • Document summarization and analysis
  • Creative writing and content creation
Image Capabilities:
  • Image analysis and description
  • Visual question answering
  • Image-based reasoning and analysis
  • Generate and edit images programmatically (2.0 Flash)
Large Context Processing:
  • Process documents up to 1 million tokens
  • Handle extensive conversations and context
  • Analyze large codebases and datasets
  • Work with lengthy research papers and reports
Structured Output:
  • Generate JSON, XML, and other structured formats
  • Perfect for automation and integration workflows
  • Consistent data extraction from unstructured content

Free Tier and Pricing

Free Tier Benefits

Google Gemini offers generous free access:
  • Quick setup: Under 5 minutes to get started
  • No billing required: Start immediately without payment setup
  • Sufficient volume: Adequate for prototypes and personal projects
  • Rate limit handling: Graceful degradation when limits are reached

Free Tier Limits

  • Requests per minute: Reasonable limits for development
  • Requests per day: Sufficient for testing and small applications
  • Token limits: Generous allowances for experimentation

When to Upgrade

Consider paid plans for:
  • Production applications with high volume
  • Commercial usage beyond free tier limits
  • Priority support and enhanced rate limits
  • Advanced features and early access to new models