GPT-5.4
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 |
|---|---|---|---|
 Audio | Embedding |  Responses | bedrock-runtime |
| Image | Image | Chat Completions | bedrock-mantle |
| Speech | Speech | Invoke | |
| Text | Text | Converse | |
| Video | 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 |
|---|---|
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Pricing
For pricing, please refer to the Amazon Bedrock Pricing
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/responses |
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/responses".
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.
| Standard | Priority | Flex | Reserved |
|---|---|---|---|
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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 page for more details.
| Region | In-Region | Geo | Global |
|---|---|---|---|
us-east-2 (Ohio) | | | |
us-west-2 (Oregon) | | | |
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 details, please refer to 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
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.
Step 4 - Set environment variables: Configure your environment to use the API key for authentication.
Step 5 - Run your first inference request: Save the file as bedrock-first-request.py
