Amazon

Amazon API Pricing

AWS Bedrock providing access to multiple foundation models

5 paid models · Price range: $0.04 - $2.50 /1M

About Amazon

Amazon Bedrock is a fully managed service offering access to foundation models from Amazon (Titan, Nova) and third-party providers through a unified API. It provides enterprise-grade security, private model customization, and seamless AWS integration. Amazon Nova models offer competitive performance at attractive prices.

Key Highlights

  • Access to multiple model providers
  • Enterprise-grade AWS security
  • Private model customization
  • Amazon Nova: competitive new models
  • Seamless AWS ecosystem integration
Why Choose: Best choice for AWS-centric organizations. Single API for multiple model providers with enterprise security.
5
Total Models
$0.04
Lowest Input
1.0M
Max Context
5
Capabilities

Pricing Features

  • Pay-per-token billing
Pricing Notes:

Pay-per-use pricing through AWS. Provisioned Throughput available for predictable workloads. Volume discounts for enterprise.

API Features

StreamingFunction CallingVisionEmbeddingsFine-tuningGuardrails

Common Use Cases

  • • AWS-Native Applications
  • • Enterprise Deployments
  • • Multi-Model Strategies
  • • Regulated Industries
  • • Scalable Production

📊 Amazon Model Comparison

Compare all models side by side. Sorted by total price (input + output).

Model Tier Input /1M Output /1M Total /1M Context Best For
Nova Micro 1.0 Budget $0.04 $0.14 $0.18 128k General tasks
Nova Lite 1.0 Budget $0.06 $0.24 $0.30 300k Image analysis
Nova 2 Lite Budget $0.30 $2.50 $2.80 1.0M Complex reasoning, math
Nova Pro 1.0 Balanced $0.80 $3.20 $4.00 300k Image analysis
Nova Premier 1.0 Flagship $2.50 $12.50 $15.00 1.0M Complex reasoning, math

🎯 Which Amazon Model Should You Choose?

Quick recommendations based on your use case.

💰

Lowest Cost

Best value for budget-conscious projects.

Nova Micro 1.0
$0.18 total
💬

Chat / Customer Service

High volume, short responses.

Nova Micro 1.0
$0.18 total
🧠

Complex Reasoning

Math, logic, multi-step problems.

Nova 2 Lite
$2.80 total
👁️

Image Understanding

Analyze images and documents.

Nova Lite 1.0
$0.30 total
📄

Long Documents

Process large files and contexts.

Nova 2 Lite
1.0M context

💰 Amazon Monthly Cost Examples

Estimated monthly costs for common use cases.

Use Case Monthly Usage Nova Micro 1.0
(Budget)
Nova 2 Lite
(Flagship)
Customer Service Bot
1000 conversations/day
500k input
200k output
$0.05/mo $0.65/mo
Code Assistant
200 requests/day
1.0M input
500k output
$0.11/mo $1.55/mo
Data Analysis
500 analyses/day
2.0M input
300k output
$0.11/mo $1.35/mo

⚔️ Amazon vs Competitors

How does {brand} compare to other major AI providers?

Brand Model Input /1M Output /1M Total /1M Context vs {brand}
Amazon Amazon Nova 2 Lite Current $0.30 $2.50 $2.80 1.0M
OpenAI OpenAI GPT-5.2 Chat $1.75 $14.00 $15.75 128k 463% more
OpenAI OpenAI GPT-5.2 Pro $21.00 $168.00 $189.00 400k 6650% more
OpenAI OpenAI GPT-5.2 $1.75 $14.00 $15.75 400k 463% more
OpenAI OpenAI GPT-5.1-Codex-Max $1.25 $10.00 $11.25 400k 302% more
OpenAI OpenAI GPT-5.1 $1.25 $10.00 $11.25 400k 302% more
OpenAI OpenAI GPT-5.1 Chat $1.25 $10.00 $11.25 128k 302% more

All Models

Model Input /1M Output /1M Context Capabilities Actions
Nova 2 Lite $0.30 $2.50 1.0M
chatvisionvideoreasoning
View Details
Nova Premier 1.0 $2.50 $12.50 1.0M
chatvisionreasoningtool_use
View Details
Nova Micro 1.0 Cheapest $0.04 $0.14 128k
chattool_use
View Details
Nova Lite 1.0 $0.06 $0.24 300k
chatvisiontool_use
View Details
Nova Pro 1.0 $0.80 $3.20 300k
chatvisiontool_use
View Details

❓ Amazon Pricing FAQ

What is the cheapest Amazon model?

The cheapest Amazon model is Nova Micro 1.0 at $0.18 per 1M tokens (input + output combined).

What is the maximum context length for Amazon models?

Amazon models support up to 1.0M context length, allowing you to process large documents and maintain long conversations.

How do I choose between Amazon models?

For budget projects, choose the cheapest model. For code generation, prioritize low output price. For complex reasoning, choose models with reasoning capability. Use our scenario guide above.