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← Back to Amazon Bedrock Overview

Amazon Bedrock Pricing & Plans 2026

Complete pricing guide for Amazon Bedrock. Compare all plans, analyze costs, and find the perfect tier for your needs.

Try Amazon Bedrock Free β†’Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison β†’
Still deciding? Read our full verdict on whether Amazon Bedrock is worth it β†’

πŸ†“Free Tier Available
πŸ’Ž8 Paid Plans
⚑No Setup Fees

Choose Your Plan

Claude Haiku (Anthropic)

$0.25 per 1M input tokens / $1.25 per 1M output tokens

mo

  • βœ“Lightweight, fast model for high-volume tasks
  • βœ“On-demand pay-per-token pricing
  • βœ“Suitable for classification, extraction, and simple Q&A
  • βœ“Lowest-cost Anthropic option on Bedrock
Start Free Trial β†’

Claude Sonnet (Anthropic)

$3.00 per 1M input tokens / $15.00 per 1M output tokens

mo

  • βœ“Balanced performance and cost for most production workloads
  • βœ“Strong reasoning and coding capabilities
  • βœ“On-demand pay-per-token pricing
  • βœ“200K context window
Start Free Trial β†’

Claude Opus (Anthropic)

$15.00 per 1M input tokens / $75.00 per 1M output tokens

mo

  • βœ“Frontier-class model for complex reasoning and analysis
  • βœ“Highest accuracy on demanding benchmarks
  • βœ“On-demand pay-per-token pricing
  • βœ“Best for tasks requiring deep expertise
Start Free Trial β†’

Llama 3.1 8B (Meta)

$0.22 per 1M input tokens / $0.22 per 1M output tokens

mo

  • βœ“Open-weight small model at very low cost
  • βœ“128K context window
  • βœ“On-demand pay-per-token pricing
  • βœ“Good for lightweight inference and high-throughput pipelines
Start Free Trial β†’
Most Popular

Llama 3.1 70B (Meta)

$0.99 per 1M input tokens / $0.99 per 1M output tokens

mo

  • βœ“Mid-tier open-weight model with strong general performance
  • βœ“128K context window
  • βœ“On-demand pay-per-token pricing
  • βœ“Cost-effective alternative to proprietary mid-range models
Start Free Trial β†’

Amazon Nova Micro

$0.035 per 1M input tokens / $0.14 per 1M output tokens

mo

  • βœ“Amazon's lowest-cost text model
  • βœ“Optimized for speed and simple tasks
  • βœ“On-demand pay-per-token pricing
  • βœ“Ideal for high-volume, latency-sensitive workloads
Start Free Trial β†’

Amazon Nova Pro

$0.80 per 1M input tokens / $3.20 per 1M output tokens

mo

  • βœ“Multimodal model supporting text, images, and video
  • βœ“Balanced accuracy, speed, and cost
  • βœ“On-demand pay-per-token pricing
  • βœ“300K context window
Start Free Trial β†’

Mistral Large

$4.00 per 1M input tokens / $12.00 per 1M output tokens

mo

  • βœ“Frontier-class model from Mistral AI
  • βœ“Strong multilingual and coding performance
  • βœ“On-demand pay-per-token pricing
  • βœ“128K context window
Start Free Trial β†’

New Customer Credits

Up to $200 in free AWS credits

mo

  • βœ“Available to new AWS customers for trying AI services
  • βœ“Applies across Bedrock model inference
  • βœ“No long-term commitment required
  • βœ“Credits expire after a limited period
Start Free β†’

Pricing sourced from Amazon Bedrock Β· Last verified March 2026

Feature Comparison

FeaturesClaude Haiku (Anthropic)Claude Sonnet (Anthropic)Claude Opus (Anthropic)Llama 3.1 8B (Meta)Llama 3.1 70B (Meta)Amazon Nova MicroAmazon Nova ProMistral LargeNew Customer Credits
Lightweight, fast model for high-volume tasksβœ“βœ“βœ“βœ“βœ“βœ“βœ“βœ“βœ“
On-demand pay-per-token pricingβœ“βœ“βœ“βœ“βœ“βœ“βœ“βœ“βœ“
Suitable for classification, extraction, and simple Q&Aβœ“βœ“βœ“βœ“βœ“βœ“βœ“βœ“βœ“
Lowest-cost Anthropic option on Bedrockβœ“βœ“βœ“βœ“βœ“βœ“βœ“βœ“βœ“
Balanced performance and cost for most production workloadsβ€”βœ“βœ“βœ“βœ“βœ“βœ“βœ“βœ“
Strong reasoning and coding capabilitiesβ€”βœ“βœ“βœ“βœ“βœ“βœ“βœ“βœ“
200K context windowβ€”βœ“βœ“βœ“βœ“βœ“βœ“βœ“βœ“
Frontier-class model for complex reasoning and analysisβ€”β€”βœ“βœ“βœ“βœ“βœ“βœ“βœ“
Highest accuracy on demanding benchmarksβ€”β€”βœ“βœ“βœ“βœ“βœ“βœ“βœ“
Best for tasks requiring deep expertiseβ€”β€”βœ“βœ“βœ“βœ“βœ“βœ“βœ“
Open-weight small model at very low costβ€”β€”β€”βœ“βœ“βœ“βœ“βœ“βœ“
128K context windowβ€”β€”β€”βœ“βœ“βœ“βœ“βœ“βœ“
Good for lightweight inference and high-throughput pipelinesβ€”β€”β€”βœ“βœ“βœ“βœ“βœ“βœ“
Mid-tier open-weight model with strong general performanceβ€”β€”β€”β€”βœ“βœ“βœ“βœ“βœ“
Cost-effective alternative to proprietary mid-range modelsβ€”β€”β€”β€”βœ“βœ“βœ“βœ“βœ“
Amazon's lowest-cost text modelβ€”β€”β€”β€”β€”βœ“βœ“βœ“βœ“
Optimized for speed and simple tasksβ€”β€”β€”β€”β€”βœ“βœ“βœ“βœ“
Ideal for high-volume, latency-sensitive workloadsβ€”β€”β€”β€”β€”βœ“βœ“βœ“βœ“
Multimodal model supporting text, images, and videoβ€”β€”β€”β€”β€”β€”βœ“βœ“βœ“
Balanced accuracy, speed, and costβ€”β€”β€”β€”β€”β€”βœ“βœ“βœ“
300K context windowβ€”β€”β€”β€”β€”β€”βœ“βœ“βœ“
Frontier-class model from Mistral AIβ€”β€”β€”β€”β€”β€”β€”βœ“βœ“
Strong multilingual and coding performanceβ€”β€”β€”β€”β€”β€”β€”βœ“βœ“
Available to new AWS customers for trying AI servicesβ€”β€”β€”β€”β€”β€”β€”β€”βœ“
Applies across Bedrock model inferenceβ€”β€”β€”β€”β€”β€”β€”β€”βœ“
No long-term commitment requiredβ€”β€”β€”β€”β€”β€”β€”β€”βœ“
Credits expire after a limited periodβ€”β€”β€”β€”β€”β€”β€”β€”βœ“

Is Amazon Bedrock Worth It?

βœ… Why Choose Amazon Bedrock

  • β€’ Trusted by over 100,000 organizations worldwide, including regulated industries like fintech (Robinhood) and healthcare
  • β€’ Single API access to hundreds of foundation models from Anthropic, Meta, Mistral, Cohere, Amazon, and othersβ€”no vendor lock-in to one model
  • β€’ Industry-leading compliance posture (FedRAMP High, HIPAA-eligible, SOC, ISO, GDPR) makes it viable for regulated workloads where competitors fall short
  • β€’ AgentCore removes the infrastructure burden of running agents at scaleβ€”Epsilon shrank agent development from months to weeks
  • β€’ Cost optimization tools are concrete and measurable: Model Distillation cuts costs up to 75%, Intelligent Prompt Routing up to 30%, with prompt caching layered on top
  • β€’ Bedrock never stores or uses customer data to train models, with encryption at rest and in transit plus identity-based access policies

⚠️ Consider This

  • β€’ Pricing complexity is steepβ€”per-token costs vary by model, and add-ons like AgentCore, Guardrails, and Knowledge Bases each bill separately
  • β€’ Steep learning curve for teams not already familiar with AWS IAM, VPC networking, and CloudWatch monitoring
  • β€’ No free tier beyond the $200 new-customer credits; ongoing usage requires active AWS billing from day one
  • β€’ Model availability varies by AWS region, which can complicate global deployments and force architectural compromises
  • β€’ Latency can be higher than going direct to model providers like OpenAI or Anthropic, since Bedrock adds a managed layer in front of the underlying APIs

What Users Say About Amazon Bedrock

πŸ‘ What Users Love

  • βœ“Trusted by over 100,000 organizations worldwide, including regulated industries like fintech (Robinhood) and healthcare
  • βœ“Single API access to hundreds of foundation models from Anthropic, Meta, Mistral, Cohere, Amazon, and othersβ€”no vendor lock-in to one model
  • βœ“Industry-leading compliance posture (FedRAMP High, HIPAA-eligible, SOC, ISO, GDPR) makes it viable for regulated workloads where competitors fall short
  • βœ“AgentCore removes the infrastructure burden of running agents at scaleβ€”Epsilon shrank agent development from months to weeks
  • βœ“Cost optimization tools are concrete and measurable: Model Distillation cuts costs up to 75%, Intelligent Prompt Routing up to 30%, with prompt caching layered on top
  • βœ“Bedrock never stores or uses customer data to train models, with encryption at rest and in transit plus identity-based access policies

πŸ‘Ž Common Concerns

  • ⚠Pricing complexity is steepβ€”per-token costs vary by model, and add-ons like AgentCore, Guardrails, and Knowledge Bases each bill separately
  • ⚠Steep learning curve for teams not already familiar with AWS IAM, VPC networking, and CloudWatch monitoring
  • ⚠No free tier beyond the $200 new-customer credits; ongoing usage requires active AWS billing from day one
  • ⚠Model availability varies by AWS region, which can complicate global deployments and force architectural compromises
  • ⚠Latency can be higher than going direct to model providers like OpenAI or Anthropic, since Bedrock adds a managed layer in front of the underlying APIs

Pricing FAQ

Which foundation models are available on Amazon Bedrock?

Amazon Bedrock provides access to hundreds of foundation models from leading AI companies, including Anthropic's Claude family, Meta's Llama, Mistral, Cohere, Stability AI, AI21 Labs, and Amazon's own Nova and Titan models. The model catalog expands regularly as new models are released, and built-in evaluation tools let you benchmark options against your specific use case. You can also import custom fine-tuned models, giving you flexibility to combine proprietary and third-party models in the same application.

How does Amazon Bedrock handle data privacy and security?

Bedrock never stores or uses your data to train the underlying foundation models, and all data is encrypted in transit and at rest. Access is governed by AWS IAM identity-based policies, and traffic can be kept private using VPC endpoints. Bedrock is in scope for ISO, SOC, CSA STAR Level 2, GDPR, and FedRAMP High compliance, and is HIPAA eligibleβ€”making it one of the few generative AI platforms approved for regulated industries like healthcare, financial services, and government.

What is Amazon Bedrock AgentCore and how is it different from Bedrock Agents?

AgentCore is a composable agentic platform that lets you build, deploy, and operate agents at production scale using any framework or model without managing infrastructure. It includes nine independent services: Runtime, Gateway, Memory, Identity, Browser, Code Interpreter, Observability, Evaluations, and Policy. Bedrock Agents is the higher-level, guided agent-building experience, while AgentCore gives more advanced teams lower-level primitives to compose custom agentic architectures, including agents that interact with third-party tools and data sources.

How much does Amazon Bedrock cost?

Amazon Bedrock uses pay-as-you-go pricing based primarily on input and output tokens, with rates varying by modelβ€”so a call to a frontier model like Claude Opus costs more than a smaller model like Claude Haiku or Llama. Additional features including AgentCore services, Knowledge Bases, Guardrails, Model Distillation, and fine-tuning are billed separately. New AWS customers receive up to $200 in AWS credits to try AWS AI for free, and cost-optimization features like Intelligent Prompt Routing and prompt caching can cut inference bills by 30% or more.

How does Amazon Bedrock reduce hallucinations and unsafe outputs?

Bedrock Guardrails can block up to 88% of harmful content via configurable content filters, denied topics, word filters, sensitive-information filters, and contextual grounding checks. For factual accuracy, Automated Reasoning checks use formal mathematical verification to identify correct model responses with up to 99% accuracyβ€”a capability most competitors do not offer. Combined with Knowledge Bases for grounding responses in your proprietary data and Bedrock's evaluation tools, you can systematically reduce hallucinations and enforce safety policies in production.

Ready to Get Started?

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Try Amazon Bedrock Now β†’

More about Amazon Bedrock

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