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
Model launch date: September 8, 2026
EOL no sooner than: September 8, 2027
Legacy period: at least 6 months
Model lifecycle policy: Model lifecycle
Model EOL date: N/A
End User License Agreements and Terms of Use: View
Model lifecycle: Active
Context window: 1,050,000 tokens
Max output tokens: 128,000
Knowledge cutoff: April 30, 2026
Marketplace product ID:
prod-hqau7gqhlqsrg
| 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 |
|---|---|---|---|---|
| | | | |
On bedrock-mantle, this model is served at /openai/v1/responses and /openai/v1/chat/completions.
Capabilities and Features
Bedrock Features
Features supported using bedrock-runtime
| Supported | Not Supported |
|---|---|
|
Features supported using bedrock-mantle
| Supported | Not Supported |
|---|---|
|
Pricing
Short Context Window (272K)
| Inference option | Input | Input — 30m cache write | Input — cache read | Output |
|---|---|---|---|---|
| In-Region | $11.00 | $13.75 | $1.10 | $55.00 |
| Geo CRIS | $11.00 | $13.75 | $1.10 | $55.00 |
| Global CRIS | $10.00 | $12.50 | $1.00 | $50.00 |
Long Context Window (1.05M)
| Inference option | Input | Input — 30m cache write | Input — cache read | Output |
|---|---|---|---|---|
| In-Region | $22.00 | $27.50 | $2.20 | $82.50 |
| Geo CRIS | $22.00 | $27.50 | $2.20 | $82.50 |
| Global CRIS | $20.00 | $25.00 | $2.00 | $75.00 |
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
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.
| Endpoint | Model ID | In-Region endpoint URL | Geo inference ID | Global inference ID |
|---|---|---|---|---|
bedrock-mantle | openai.gpt-6-astra | https://bedrock-mantle.us-west-2.api.aws/openai/v1 | Not supported | Not supported |
bedrock-runtime | openai.gpt-6-astra | Not supported | us.openai.gpt-6-astra | global.openai.gpt-6-astra |
The bedrock-mantle endpoint is available only in us-west-2 (Oregon). 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.
| Standard | Priority | Flex | Reserved |
|---|---|---|---|
|
|
|
|
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-west-2 (Oregon) | | | |
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
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.
Note
On bedrock-runtime, name a cross-Region inference profile as the model: us.openai.gpt-6-astra or global.openai.gpt-6-astra. This model is not available for in-Region inference on that endpoint.
Step 5 - Run your first inference request: Save the file as bedrock-first-request.py.
