Daybreak Red: GPT-5.6 Cyber

OpenAI — Daybreak Red: GPT-5.6 Cyber

Model Details

Daybreak Red: GPT-5.6 Cyber is a highly specialized OpenAI model for advanced tasks like vulnerability research, exploit reproduction, and mitigation development.

Note

Access to this model is limited to eligible customers. To learn more, see Accelerate cyber defense with OpenAI and AWS.

• Model launch date: August 12, 2026

• Model EOL date: N/A

• End User License Agreements and Terms of Use: View

• Model lifecycle: Active

• Context window: 272K tokens

• Languages: English, Spanish, French, German, Portuguese, Italian, Dutch, Russian, Chinese (Simplified and Traditional), Japanese, Korean, Arabic, Hindi, Turkish, Polish, Ukrainian, and other languages.

• Fine-tuning supported: No

• Supported use cases: Vulnerability research, exploit reproduction, and mitigation development.

Input Modalities	Output Modalities	APIs supported	Endpoints supported
Audio	Embedding	Responses	bedrock-runtime
Image	Image	Chat Completions	bedrock-mantle
Speech	Speech	Invoke
Text	Text	Converse
Video	Video

On bedrock-mantle, this model is served at /openai/v1/responses, not the default /v1/responses.

Capabilities and Features

Bedrock Features

Features supported using bedrock-mantle endpoint

Supported	Not Supported
Server-side tool calling Projects Prompt caching	—

Pricing

Short Context Window (272K)

Inference option	Input	Input — 30m cache write	Input — cache read	Output
In-Region	$13.75	$17.1875	$1.375	$82.50

All prices are per 1 million tokens. Pricing shown is for the Standard tier. Priority and Flex tiers are not supported for this model.

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	openai.gpt-5.6-cyber	https://bedrock-mantle.{region}.api.aws/openai/v1	Not supported	Not supported

For example, if region is us-east-2 (Ohio), then the bedrock-mantle endpoint URL will be "https://bedrock-mantle.us-east-2.api.aws/openai/v1".

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

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.

Region	In-Region	Geo	Global
us-east-2 (Ohio)

Quotas and Limits

Model access is only available to eligible customers. Access to this model requires enrollment in Trusted Access for Cyber from OpenAI. To enroll, contact OpenAI or reach out to your AWS account team for guidance on eligibility. Once approved, work with your account team to request access on AWS.

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.

Responses API

pip install openai

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

Responses API

OPENAI_API_KEY="<provide your Bedrock API key>"
OPENAI_BASE_URL="https://bedrock-mantle.us-east-2.api.aws/openai/v1"

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

Responses API

from openai import OpenAI

client = OpenAI()

response = client.responses.create(
    model="openai.gpt-5.6-cyber",
    input="Can you explain the features of Amazon Bedrock?"
)
print(response)