# 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](https://deploymentsafety.openai.com/gpt-6-astra/).
+ **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-lifecycle.md)
+ **Model EOL date:** N/A
+ **End User License Agreements and Terms of Use:** [View](https://aws.amazon.com/legal/bedrock/third-party-models/)
+ **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](apis.md) and [Endpoints supported by Amazon Bedrock](endpoints.md).
**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** |
| --- | --- |
| +  [Projects (default project only)](projects.html)
+  [Invocation logs](model-invocation-logging.html)
+  [Response streaming](/bedrock/latest/APIReference/API_runtime_InvokeModelWithResponseStream.html)
+  [Abuse detection](abuse-detection.html)
+  [Guardrails](guardrails.html) ([Converse API](conversation-inference.html) only)
+  [Application inference profiles](cost-mgmt-application-inference-profiles.html) ([Converse API](conversation-inference.html) only; not supported with Responses or Chat Completions APIs) | +  [Server-side tool use](tool-use.html)
+  [Intelligent prompt routing](prompt-routing.html)
+  [Count tokens](count-tokens.html)
+  [Structured outputs](structured-output.html) |
**Features supported using `bedrock-mantle`**
| **Supported** | **Not Supported** |
| --- | --- |
| +  [Server-side tool calling](tool-use.html)
+  [Projects](projects.html)
+  [Implicit Prompt Caching](prompt-caching.html#prompt-caching-implicit) (Responses API only)
+  [Explicit Prompt Caching](prompt-caching.html#prompt-caching-explicit) (Responses API only) | +  [Application inference profiles](cost-mgmt-application-inference-profiles.html) |
## 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](apis.md) and [Endpoints supported by Amazon Bedrock](endpoints.md).
| **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](service-tiers-inference.html).
| **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](models-region-compatibility.md) 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](quotas-increase.html). For more information, see the [Quotas for Amazon Bedrock](quotas.md) documentation and the [limits](/general/latest/gr/bedrock.html#limits_bedrock) 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](https://portal.aws.amazon.com/billing/signup).
**Step 2 - API key:** Go to the [Amazon Bedrock console](https://console.aws.amazon.com/bedrock/home#/api-keys/long-term/create) 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.
------
#### [ bedrock-mantle ]
```
OPENAI_API_KEY=""
OPENAI_BASE_URL="https://bedrock-mantle.us-west-2.api.aws/openai/v1"
```
------
#### [ bedrock-runtime ]
```
OPENAI_API_KEY=""
OPENAI_BASE_URL="https://bedrock-runtime.us-west-2.amazonaws.com/openai/v1"
```
------
**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`.
------
#### [ bedrock-mantle ]
```
from openai import OpenAI
client = OpenAI()
response = client.responses.create(
model="openai.gpt-6-astra",
input="Can you explain the features of Amazon Bedrock?"
)
print(response)
```
------
#### [ bedrock-runtime ]
```
from openai import OpenAI
client = OpenAI()
response = client.responses.create(
model="us.openai.gpt-6-astra",
input="Can you explain the features of Amazon Bedrock?"
)
print(response)
```
------