# 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
+ **Model EOL date:** N/A
+ **End User License Agreements and Terms of Use:** [View](https://aws.amazon.com/legal/bedrock/third-party-models/)
+ **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** | **[APIs supported](https://docs.aws.amazon.com/bedrock/latest/userguide/apis.html)** | **[Endpoints supported](https://docs.aws.amazon.com/bedrock/latest/userguide/endpoints.html)** |
| --- | --- | --- | --- |
|  Audio |  Embedding |  Responses |  bedrock-runtime |
|  Image |  Image |  Chat Completions |  bedrock-mantle |
|  Speech |  Speech |  Invoke | |
|  Text |  Text |  Converse | |
|  Video |  Video |  Messages | |
## Capabilities and Features
***Bedrock Features***
**Features supported using `bedrock-mantle` endpoint**
| **Supported** | **Not Supported** |
| --- | --- |
| [See the AWS documentation website for more details](http://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-claude-mythos-5.html) | [See the AWS documentation website for more details](http://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-claude-mythos-5.html) |
***Prompt caching***
For more information, see [Prompt caching for faster model inference](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-caching.html).
| **Prompt caching supported** | **Min tokens per cache checkpoint** | **Max cache checkpoints per request** | **Supported TTL** | **Fields that accept prompt cache checkpoint** |
| --- | --- | --- | --- | --- |
| Yes | 1,024 | 4 | 5 minutes, 1 hour | system, messages, and tools |
## Pricing
For pricing, please refer to the [Amazon Bedrock Pricing](https://aws.amazon.com/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](https://docs.aws.amazon.com/bedrock/latest/userguide/apis.html) and [Endpoints supported](https://docs.aws.amazon.com/bedrock/latest/userguide/endpoints.html).
| **Endpoint** | **Model ID** | **In-Region endpoint URL** | **Global** |
| --- | --- | --- | --- |
| bedrock-mantle | anthropic.claude-mythos-5 | https://bedrock-mantle.{region}.api.aws/anthropic/v1/messages | N/A |
## Service Tiers
Amazon Bedrock offers multiple service tiers to match your workload requirements. **Standard** provides pay-per-token access with no commitment. **Priority** offers higher throughput with a time-based commitment. **Flex** provides lower-cost access for flexible, non-time-sensitive workloads. **Reserved** provides dedicated throughput with a term commitment for predictable workloads. For more information, see [service tiers](https://docs.aws.amazon.com/bedrock/latest/userguide/service-tiers-inference.html).
| **Standard** | **Priority** | **Flex** | **Reserved** |
| --- | --- | --- | --- |
|  |  |  |  |
## Regional Availability
***Regional availability at a glance***
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 (US, EU, etc.) for higher throughput while respecting data residency, and **Global Cross-Region** routes anywhere worldwide for maximum throughput when there are no residency constraints. Refer to the [Regional availability](models-region-compatibility.md) page for more details.
| **Region** | **In-Region** | **Geo** | **Global** |
| --- | --- | --- | --- |
| us-east-1 (N. Virginia) |  |  |  |
## 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. There is no console UI for this setting at launch. For more information, see [Amazon Bedrock abuse detection](https://docs.aws.amazon.com/bedrock/latest/userguide/abuse-detection.html).
## 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](https://docs.aws.amazon.com/bedrock/latest/userguide/quotas-increase.html). For more details, please refer to [Quotas for Amazon Bedrock](quotas.md) documentation and see the [limits](https://docs.aws.amazon.com/general/latest/gr/bedrock.html#limits_bedrock) 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](https://portal.aws.amazon.com/billing/signup).
**Step 2 - API key:** Go to the [Amazon Bedrock console](https://console.aws.amazon.com/bedrock/home#/api-keys/long-term/create) 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=""
```
**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)
```