gpt-6-astra
OpenAI/Proprietary/4 providers
GPT-6 Astra is OpenAI's most capable model, built for the hardest end-to-end work. It is suited for complex reasoning, coding, computer use, research, and document creation, with reasoning effort levels from low up to xhigh and max.MoreLess
Which id to call
openai-responses/gpt-6-astraThis model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.
From /1M input
$5.00
OpenAI Responses
Context
1.1M
128K output
Endpoints
6
2 regions
Price spread
2.0x
6 endpoints
Capabilities 7/8
6 endpoints / 2 regions
Providers serving gpt-6-astra
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
| Rank | Privacy | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  OpenAI Responses | Global | 1.1M | $5.00 | $25.00 | $0.50 | no-train |
| 2 | OpenAI Responses | Global | 1.1M | $5.00 | $25.00 | $0.50 | no-train |
| 3 | OpenAI Inc. | Global | 1.1M | $5.00 | $25.00 | $0.50 | no-train |
| 4 | OpenAI Inc. | Global | 1.1M | $5.00 | $25.00 | $0.50 | no-train |
| 5 | azure-responses | eastus2 | 1.1M | $10.00 | $50.00 | $1.00 | zdr |
| 6 |  Microsoft Azure AI | eastus2 | 1.1M | $10.00 | $50.00 | $1.00 | zdr |
A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
openai-responses/gpt-6-astraThis model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
123456789101112131415from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="openai-responses/gpt-6-astra", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
Artificial Analysis
Benchmark scores
Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.
Graduate-level physics, chemistry & biology questions designed to resist Googling.
Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.
Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.
6
More from OpenAI
Reference
gpt-6-astra questions
Which providers serve gpt-6-astra?
gpt-6-astra is available from 4 providers through Requesty: OpenAI Responses, OpenAI Inc., azure-responses, Microsoft Azure AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does gpt-6-astra cost?
Pricing starts at $5.00 per million input tokens and $25.00 per million output tokens on OpenAI Responses, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
Is gpt-6-astra open weights?
No. gpt-6-astra is a proprietary model from OpenAI, served through OpenAI's own API and licensed cloud platforms.
What is the context window of gpt-6-astra?
gpt-6-astra supports up to 1.1M tokens of context, with up to 128K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use gpt-6-astra with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "openai-responses/gpt-6-astra" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Route gpt-6-astra through one endpoint
One key for 4 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.