Quick Summary

Google Gemini

Multimodal AI with competitive pricing and speed

  • 1M token context window
  • Multimodal understanding
  • Fast inference
View Full Guide

AWS Bedrock

Enterprise AI through AWS with compliance and security

  • Enterprise security
  • AWS integration
  • Multiple providers
View Full Guide

Model Comparison

Aspect Google Gemini AWS Bedrock
Number of Models 2 1
Default Model Gemini 2.0 Flash Claude 3 Sonnet (Bedrock)
Max Context Window 1000K tokens 200K tokens
Image Support ✓ Yes ✓ Yes
Tool/Function Calling ✓ Yes ✓ Yes
Pricing Model

Authentication

Google Gemini

api_key

Google AI API key

GOOGLE_API_KEY
oauth

OAuth via Antigravity or Gemini CLI

AWS Bedrock

token

AWS credentials or bearer token

Pros & Cons

Google Gemini

Pros

  • Extremely large context window
  • Very cost-effective
  • Fast inference speeds
  • Good multimodal capabilities

Cons

  • Still experimental features
  • Less mature ecosystem
  • API can change frequently

AWS Bedrock

Pros

  • Enterprise-grade security
  • AWS ecosystem integration
  • Compliance certifications
  • VPC private links

Cons

  • AWS account required
  • More complex setup
  • Region availability varies

Best Use Cases

Choose Google Gemini if you need:

  • Long document processing
  • Cost-sensitive applications
  • High-volume inference
  • Multimodal tasks

Choose AWS Bedrock if you need:

  • Enterprise deployments
  • Regulated industries
  • AWS-native applications
  • High-security environments

Use with Messaging Channels

Both providers work with all OpenClaw messaging channels:

Frequently Asked Questions

Which is better, Google Gemini or AWS Bedrock?
It depends on your use case. Google Gemini excels at long document processing, while AWS Bedrock is best for enterprise deployments. Consider your specific needs for context length, pricing, and feature requirements.
Can I use both Google Gemini and AWS Bedrock with OpenClaw?
Yes! OpenClaw supports multiple providers simultaneously. You can configure Google Gemini as your primary and AWS Bedrock as a fallback, or use different providers for different agents.
Which has better pricing, Google Gemini or AWS Bedrock?
Google Gemini uses undefined pricing, while AWS Bedrock uses undefined. The best value depends on your usage volume and whether you need premium features.