Claude Mythos 5 - Amazon Bedrock
Services or capabilities described in AWS documentation might vary by Region. To see the differences applicable to the AWS European Sovereign Cloud Region, see the AWS European Sovereign Cloud User Guide.

Claude Mythos 5

Anthropic — Claude Mythos 5

Model Details

Claude Mythos 5 is Anthropic's most capable model for cybersecurity and life sciences, including vulnerability discovery, drug design, and biodefense screening. Access is currently limited due to the dual-use nature of these domains.

This model is a Preview and is made available to you as a "Beta Service" as defined in the AWS Service Terms. It is subject to your Agreement with AWS, the AWS Service Terms, and the applicable model EULA.

  • Model launch date: June 9, 2026

  • EOL no sooner than: June 9, 2027

  • Legacy period: at least 6 months

  • Model lifecycle policy: Model lifecycle (For Models Launched Prior to Sept 7 2026)

  • Model EOL date: N/A

  • End User License Agreements and Terms of Use: View

  • Model lifecycle: Active

  • Context window: 1M tokens

  • Max output tokens: 128K

  • Sampling parameters: temperature must be 1.0 or unset; top_p must be ≥ 0.99 and < 1.0, or unset; top_k is not supported

  • Reasoning: Supported (adaptive thinking is always on and cannot be disabled; effort level is configurable)

  • Knowledge cutoff: January 2026

  • Marketplace product ID: prod-kyryzgfmbtwtc

Input Modalities Output Modalities
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Endpoints and APIs supported

The following tables show which endpoints and APIs are supported for Claude Mythos 5. For more information, see APIs supported by Amazon Bedrock and Endpoints supported by Amazon Bedrock.

Endpoint support

Endpoint Supported
bedrock-runtime not-supported
bedrock-mantle supported

APIs supported on bedrock-runtime endpoint

Messages Responses Chat Completions Converse Invoke
not-supported not-supported not-supported not-supported not-supported

APIs supported on bedrock-mantle endpoint

Messages Responses Chat Completions Converse Invoke
supported not-supported not-supported not-supported not-supported

Capabilities and Features

Bedrock Features

Features supported using bedrock-mantle endpoint

Implicit and Explicit Prompt Caching using bedrock-mantle endpoint

For more information, see Prompt caching for faster model inference.

Explicit Prompt Caching supported Min tokens per cache checkpoint Max cache checkpoints per request Supported TTL Fields that accept prompt cache checkpoint
Yes 512 4 5 minutes, 1 hour system, messages, and tools

Pricing

This model is a third-party model offered and billed through AWS Marketplace. Charges appear on your AWS bill and in AWS Cost Explorer under the model provider (not under Amazon Bedrock). For pricing, see the Amazon Bedrock Pricing page.

Programmatic Access

Use the following model IDs and endpoint URLs to access this model programmatically. For more information about the available APIs and endpoints, see APIs supported and Endpoints supported.

Endpoint Model ID In-Region endpoint URL Geo inference ID Global inference ID
bedrock-mantle anthropic.claude-mythos-5 https://bedrock-mantle.{region}.api.aws/anthropic/v1/messages N/A N/A

For example, if region is us-east-1 (N. Virginia), then the bedrock-mantle endpoint URL will be "https://bedrock-mantle.us-east-1.api.aws/anthropic/v1/messages".

Service Tiers

Amazon Bedrock offers multiple service tiers to match your workload requirements. Standard provides pay-per-token access with no commitment (set "service_tier": "default" or omit the field). Priority delivers the fastest response times for a price premium (set "service_tier": "priority"). Flex provides lower-cost access for flexible, non-time-sensitive workloads (set "service_tier": "flex"). Reserved provides dedicated throughput with a term commitment for predictable workloads; it is set at the account level rather than per request (contact your AWS account team to enable). For more information, see service tiers.

Standard Priority Flex Reserved
Green circle with white checkmark icon. Red circle with white X icon indicating error, cancel, or close action. Red circle with white X icon indicating error, cancel, or close action. Red circle with white X icon indicating error, cancel, or close action.

Regional Availability

Regional availability at a glance

Amazon Bedrock offers three inference options: In-Region keeps requests within a single Region for strict compliance, Geo Cross-Region routes across Regions within a geography (such as US, EU, and APAC) while respecting data residency, and Global Cross-Region routes anywhere worldwide when there are no residency constraints. Refer to the Regional availability by models page for more details.

Availability differs by endpoint.

Availability using the bedrock-mantle endpoint

Region In-Region Geo Global
us-east-1 (N. Virginia)supportednot-supportednot-supported

Data retention

To use this model, you must opt in to provider data sharing by setting your data retention mode to provider_data_share via the Data Retention API. For more information, see Amazon Bedrock abuse detection.

Quotas and Limits

Your AWS account has default quotas to maintain the performance of the service and to ensure appropriate usage of Amazon Bedrock. The default quotas assigned to an account might be updated depending on regional factors, payment history, fraudulent usage, and/or approval of a quota increase request. For more information, see Quotas for Amazon Bedrock documentation and see the limits for the model.

Sample Code

Step 1 - AWS Account: If you have an AWS account already, skip this step. If you are new to AWS, sign up for an AWS account.

Step 2 - API key: Go to the Amazon Bedrock console and generate a long-term API key.

Step 3 - Get the SDK: To use this getting started guide, you must have Python already installed. Then install the relevant software depending on the APIs you are using.

pip install -U "anthropic[bedrock]"

Step 4 - Set environment variables: Configure your environment to use the API key for authentication.

AWS_BEARER_TOKEN_BEDROCK="<provide your Bedrock API key>"

Step 5 - Run your first inference request: Save the file as bedrock-first-request.py

from anthropic import AnthropicBedrockMantle client = AnthropicBedrockMantle(aws_region="us-east-1") message = client.messages.create( model="anthropic.claude-mythos-5", max_tokens=1024, messages=[{"role": "user", "content": "Hello, Claude"}], ) print(message.content[0].text)