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GPT-5.4 - Amazon Bedrock
Icon showing a circular pattern with interwoven curved segments forming a pinwheel design. OpenAI — GPT-5.4Model DetailsCapabilities and FeaturesPricingProgrammatic AccessService TiersRegional AvailabilityQuotas and LimitsSample Code

GPT-5.4

Icon showing a circular pattern with interwoven curved segments forming a pinwheel design. OpenAI — GPT-5.4

Model Details

GPT-5.4 brings frontier reasoning, coding, computer use, long-context workflows, and tool use to Amazon Bedrock. It helps developers build AI applications and production workflows that can interpret context, interact with tools, operate software environments, and verify outputs across multiple steps. GPT-5.4 is well suited for professional workflows that require reliable reasoning and action across complex business systems. For more information about model development and performance, see the model/service card.

  • Model launch date: June 1, 2026

  • Model EOL date: N/A

  • End User License Agreements and Terms of Use: View

  • Model lifecycle: Active

  • Context window: 272K tokens

  • Max output tokens: N/A

Input Modalities Output Modalities APIs supported Endpoints supported
Red circle with white X icon indicating error, cancel, or close action. AudioRed circle with white X icon indicating error, cancel, or close action. EmbeddingGreen circle with white checkmark icon. ResponsesRed circle with white X icon indicating error, cancel, or close action. bedrock-runtime
Green circle with white checkmark icon. ImageRed circle with white X icon indicating error, cancel, or close action. ImageRed circle with white X icon indicating error, cancel, or close action. Chat CompletionsGreen circle with white checkmark icon. bedrock-mantle
Red circle with white X icon indicating error, cancel, or close action. SpeechRed circle with white X icon indicating error, cancel, or close action. SpeechRed circle with white X icon indicating error, cancel, or close action. Invoke
Green circle with white checkmark icon. TextGreen circle with white checkmark icon. TextRed circle with white X icon indicating error, cancel, or close action. Converse
Red circle with white X icon indicating error, cancel, or close action. VideoRed circle with white X icon indicating error, cancel, or close action. Video
Note

This model is available on the openai/v1/responses path on the bedrock-mantle endpoint. This is different from the v1/responses path used by other models on the responses endpoint.

Capabilities and Features

Bedrock Features

Features supported using bedrock-mantle endpoint

Supported Not Supported

—

Pricing

Inference option Input Input — 30m cache write Input — cache read Output
In-Region$2.75—$0.275$16.50

AWS GovCloud (US-West)

Inference option Input Input — 30m cache write Input — cache read Output
In-Region$3.30—$0.33$19.80

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-5.4 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
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)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.
us-east-2 (Ohio)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.
us-west-2 (Oregon)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.
us-gov-west-1 (GovCloud)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.

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.

Responses API
pip install openai

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

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

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

bedrock-mantle
from openai import OpenAI

client = OpenAI()

response = client.responses.create(
    model="openai.gpt-5.4",
    input="Can you explain the features of Amazon Bedrock?"
)
print(response)