GPT-6 Astra

OpenAI — GPT-6 Astra

Model Details

GPT-6 Astra is OpenAI's most capable model. It handles the hardest end-to-end work. Use it for complex reasoning, coding, computer use, research, and document creation. To learn more, see the OpenAI Deployment Safety Hub.

Input Modalities	Output Modalities
Audio	Embedding
Image	Image
Speech	Speech
Text	Text
Video	Video

Endpoints and APIs supported

The following tables show which endpoints and APIs GPT-6 Astra supports. For more information, see APIs supported by Amazon Bedrock and Endpoints supported by Amazon Bedrock.

Endpoint support

Endpoint	Supported
bedrock-runtime
bedrock-mantle

APIs supported on bedrock-runtime

Messages	Responses	Chat Completions	Converse	Invoke

APIs supported on bedrock-mantle

Messages	Responses	Chat Completions	Converse	Invoke

Capabilities and Features

Bedrock Features

Features supported using bedrock-runtime

Features supported using bedrock-mantle

JSON Schema output on bedrock-runtime

Use JSON Schema to set the format of the model response. These settings apply to non-streaming calls on the bedrock-runtime endpoint. Choose a profile ID from Programmatic access.

Use an object schema. Put all fields in required. Set additionalProperties to false. Validate your schema before you send it. Check for refusals or incomplete responses before you parse the output.

{
  "additionalModelRequestFields": {
    "text": {
      "format": { "strict": true }
    }
  }
}

Pricing

All prices are in USD per 1 million tokens. The following tables list Standard and Ultrafast prices.

Commercial In-Region and Geo CRIS prices include a 10% premium over the corresponding OpenAI rates for the same service tier. You do not need to add this premium.

Priority and Flex tiers are not supported for this model.

Standard — Commercial Regions, short context (272K input tokens or fewer)

Standard — Commercial Regions, long context (more than 272K input tokens)

Ultrafast prices are six times the corresponding Standard prices. On bedrock-runtime, Ultrafast is available through both US geographic CRIS and Global CRIS. On bedrock-mantle, Ultrafast is available in us-east-1. Short-context prices apply to requests with at most 272,000 input tokens. When input exceeds this threshold, long-context prices apply to the entire request.

Ultrafast — Commercial Regions, short context (272K input tokens or fewer)

Ultrafast — Commercial Regions, long context (more than 272K input tokens)

Programmatic Access

To call this model from code, use the following model IDs and endpoint URLs. For more information, see APIs supported by Amazon Bedrock and Endpoints supported by Amazon Bedrock.

The bedrock-mantle endpoint is available in us-east-1 (N. Virginia) and us-west-2 (Oregon). Ultrafast is available only in us-east-1 on this endpoint. On bedrock-runtime, the base URL is https://bedrock-runtime.{region}.amazonaws.com/openai/v1. Name us.openai.gpt-6-astra for US geographic cross-Region inference or global.openai.gpt-6-astra for global cross-Region inference.

Service Tiers

Amazon Bedrock offers several service tiers for different workloads. Standard gives you pay-per-token access with no commitment. To use it, set "service_tier": "default" or omit the field. For more information, see service tiers.

Ultrafast is a speed tier for GPT-6 Astra. OpenAI reports API speeds up to six times faster than Standard. To request it with the Responses API, set "service_tier": "ultrafast".

Standard	Ultrafast	Priority	Flex	Reserved

Use one of these routes for Ultrafast:

Regional Availability

Regional availability at a glance

Amazon Bedrock offers three inference options. In-Region keeps requests in one Region for strict compliance. Geo Cross-Region routes requests across Regions in one geography. It respects data residency. Global Cross-Region routes requests anywhere in the world. Use it when you have no data residency needs. For more information, see the Regional availability by models page.

Availability using the bedrock-mantle endpoint

Region	In-Region	Geo	Global
us-east-1 (N. Virginia)
us-west-2 (Oregon)

Ultrafast is available through regional Mantle in us-east-1. Regional Mantle in us-west-2 supports Standard only.

Availability using the bedrock-runtime endpoint

Region	In-Region	Geo	Global
us-east-1 (N. Virginia)
us-east-2 (Ohio)
us-west-1 (N. California)
us-west-2 (Oregon)
ca-central-1 (Canada)
eu-central-1 (Frankfurt)
eu-north-1 (Stockholm)
eu-west-1 (Ireland)
eu-west-2 (London)
eu-west-3 (Paris)
ap-northeast-1 (Tokyo)
ap-northeast-2 (Seoul)
ap-northeast-3 (Osaka)
ap-south-1 (Mumbai)
ap-southeast-1 (Singapore)
ap-southeast-2 (Sydney)
sa-east-1 (São Paulo)

Quotas and Limits

Your AWS account has default quotas. These quotas help keep Amazon Bedrock running well. A few things can change your quotas. These include Region, payment history, fraudulent use, or an approved quota increase request. For more information, see the Quotas for Amazon Bedrock documentation and the limits for the model.

On the bedrock-runtime endpoint, limits are managed as tokens per minute (TPM) with a 10x burndown rate, where 1 output token consumes 10 tokens.

Sample Code

Step 1 - AWS Account: If you already have an AWS account, 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: You must have Python installed to use this guide. Then install the OpenAI SDK.

pip install openai

Step 4 - Set environment variables

Set up your environment to use the API key for authentication.

Step 5 - Run your first inference request

Save the file as bedrock-first-request.py.

bedrock-mantle

Use the settings from Step 4 - Set environment variables. Choose the bedrock-mantle tab. The Chat tab uses the Chat Completions API.

bedrock-runtime: OpenAI SDK

Use the settings from Step 4 - Set environment variables. Choose the bedrock-runtime tab. Send your request with the Responses API.

Ultrafast example

Set OPENAI_API_KEY to your Amazon Bedrock API key. This example uses the bedrock-mantle endpoint in us-east-1.

export OPENAI_API_KEY="<your Amazon Bedrock API key>"

from openai import OpenAI

client = OpenAI(
    base_url="https://bedrock-mantle.us-east-1.api.aws/openai/v1",
)
response = client.responses.create(
    model="openai.gpt-6-astra",
    service_tier="ultrafast",
    input="Explain how Amazon Bedrock cross-Region inference works.",
)
print(response.output_text)

For bedrock-runtime, use the OpenAI-compatible base URL from Programmatic Access. Set the model to us.openai.gpt-6-astra for US geographic CRIS or global.openai.gpt-6-astra for Global CRIS, and keep service_tier="ultrafast".