OpenAI's most capable model
OpenAI built Astra for its most demanding work: complex reasoning, coding, computer use, research and document creation.
OpenAI
Operational· 100% uptime, 7 daysGPT-6 Astra API
GPT-6 Astra API: OpenAI's most capable model, at a lower price per token.
Price per 1M tokens75%off
- Input
- $2.50
$10.00 - Output
- $12.50
$50.00 - Cached input
- $0.25
Model ID
gpt-6-astrachat.py
from openai import OpenAIclient = OpenAI( base_url="https://api.zurelay.com/v1", api_key="YOUR_ZURELAY_KEY",)stream = client.chat.completions.create( model="gpt-6-astra", messages=[{"role": "user", "content": "Explain quicksort in two sentences."}], stream=True,)for chunk in stream: if chunk.choices: print(chunk.choices[0].delta.content or "", end="")Base URL https://api.zurelay.com/v1. Works with any OpenAI SDK.
- Context window
- 1.05M tokens
- Max output
- 128K tokens
- Input
- Text, Image
- Output
- Text
- Released
- Sep 4, 2026
- Uptime, 7 days
- 100%
Pricing
GPT-6 Astra API pricing. A fraction of the list price.
Pay as you go from prepaid credit, with no subscription and no minimum. Requests that fail are never billed.
| Rate | zurelay | OpenAI list | You save |
|---|---|---|---|
Input per 1M tokens | $2.50 | 75%off | |
Output per 1M tokens | $12.50 | 75%off | |
Cached input per 1M tokens | $0.25 | — | — |
One rate at every prompt length, up to the full 1.05M context window. Streaming, tool calls and structured outputs cost nothing extra.
Savings calculator
Move the sliders to your monthly usage.
Input tokens per month50M
Output tokens per month10M
zurelay
$250.00
OpenAI list price
$1,000
You save every month$750.00
$9,000 a year
Overview
What is GPT-6 Astra?
GPT-6 Astra is the top model in OpenAI's GPT-6 family, built for complex reasoning, coding, research and document work. The GPT-6 Astra API on zurelay runs the same model through one OpenAI-compatible endpoint, below OpenAI's list price. It is for teams whose hardest tasks justify the most capable model.
GPT-6 Astra is the top model in OpenAI's GPT-6 family. OpenAI calls it its most capable model for the most demanding work: complex reasoning, coding, computer use, research and document creation. The GPT-6 Astra API on zurelay uses the same model ID, gpt-6-astra, on an OpenAI-compatible Chat Completions endpoint, priced below OpenAI's list rate.
Astra reads text and images and writes text. It has a 1,050,000-token context window, accepts up to 922,000 input tokens and can write up to 128,000 output tokens in one request. Its knowledge cutoff is April 30, 2026. Reasoning is always on: set reasoning_effort to low, medium, high, xhigh or max. Astra does not accept none, and OpenAI does not accept temperature, top_p or logprobs while reasoning is on.
OpenAI reports that in several evaluations Astra got stronger results with substantially fewer output tokens than earlier models, so its estimated cost per task came in lower despite a higher price per token. OpenAI also says Astra follows long instructions better and stays coherent through long tasks. It is more likely than earlier models to stop and ask a focused question when the answer could change the result, so tell it how much autonomy you want.
Astra sits above GPT-6.1 Sol and GPT-6 Luna. OpenAI positions GPT-6.1 Sol as near-Astra performance at one-fifth of Astra's list price per token, and Luna as the fastest, lowest-cost option for focused, high-volume tasks. A practical setup sends routine traffic to Sol or Luna and saves Astra for the requests where quality matters most.
Strengths
Where GPT-6 Astra shines. And what teams build with it.
Fewer tokens per task
OpenAI reports that Astra reached stronger results with substantially fewer output tokens in several evaluations. That brought its estimated cost per task below earlier models despite a higher price per token.
Follows long instructions
OpenAI says Astra follows instructions better than its previous models and stays coherent on long tasks. It asks focused questions when an answer could change the outcome.
Room for large inputs
A 1,050,000-token context window and up to 128,000 output tokens let you send a large codebase, contract set or research corpus in one request.
Use cases
Complex coding work
Multi-step code changes, debugging and code review where a wrong answer costs more than the tokens.
Research and analysis
Long papers, filings and data sets that need careful reasoning across the full context.
Document creation
Reports, specs and structured documents built from large amounts of source material.
Escalation for hard requests
Route everyday traffic to GPT-6.1 Sol or GPT-6 Luna and send only the hardest cases to Astra at xhigh or max effort.
Get started
Call GPT-6 Astra in three steps.
No waitlist and no new SDK. If your code already talks to OpenAI, it already talks to zurelay.
- 1
Create a key
Sign up, add credit and create an API key. Set a monthly budget or a rate limit per key if you like.
- 2
Point your SDK at zurelay
Change the base URL. Everything else in your code stays the same.
https://api.zurelay.com/v1 - 3
Use gpt-6-astra
Send chat completions as usual. Streaming, tool calls and usage reporting work as you expect.
gpt-6-astra
Works with the tools you already use
Compare
Similar models. All on the same key.
75%off
GPT-6.1 Sol
$0.50 / $2.50 per 1M tokens
Pick it when you want close to Astra's results on coding and professional work at one-fifth of Astra's list price per token.
GPT-6.1 Sol API75%off
GPT-6 Luna
$0.025 / $0.125 per 1M tokens
Pick it for high-volume jobs with a clear goal, like summaries and extraction, where Astra's depth is wasted.
GPT-6 Luna API65%off
Claude Opus 5.5
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Pick it to compare Anthropic's Opus model against Astra on your own long coding and agent tasks.
Claude Opus 5.5 APIFAQ
GPT-6 Astra API questions.
Anything else, write to sales@zurelay.com and an engineer will answer.
How much does the GPT-6 Astra API cost?
On zurelay, GPT-6 Astra costs $2.50 per 1M input tokens and $12.50 per 1M output tokens. OpenAI's list price is $10.00 input and $50.00 output, so you save 75%. Cached input tokens bill at $0.25 per 1M, and reasoning tokens count as output tokens.
Is there a cheaper GPT-6 Astra API?
zurelay serves gpt-6-astra at 75% below OpenAI's list price, with the same model ID and request format. If you need a lower price per token than that, test GPT-6.1 Sol. OpenAI lists it at one-fifth of Astra's price and describes it as near-Astra on coding and professional work.
How do I call the GPT-6 Astra API with the OpenAI SDK?
Install the official openai package and create a client with base_url set to https://api.zurelay.com/v1 and your zurelay API key. Then send a Chat Completions request with model set to "gpt-6-astra". Leave out temperature, top_p and logprobs, which OpenAI does not accept for Astra while reasoning is on.
What is the GPT-6 Astra context window?
GPT-6 Astra has a 1,050,000-token context window. One request can include up to 922,000 input tokens, and the model can write up to 128,000 output tokens. Input can be text or images; output is text.
What is GPT-6 Astra best used for?
OpenAI built Astra for complex reasoning, coding, computer use, research and document creation. Use it for multi-step code changes, long-document analysis and hard problems where quality matters more than cost. For routine tasks, GPT-6.1 Sol or GPT-6 Luna usually gives a better cost per result.
Which reasoning effort should I use with GPT-6 Astra?
Astra accepts reasoning_effort values of low, medium, high, xhigh and max; it does not support none. Start with low or medium and raise it only when your tests show a quality gain. Higher effort produces more reasoning tokens, which bill as output.
GPT-6 Astra vs GPT-6.1 Sol: which should I use?
OpenAI says GPT-6.1 Sol nearly matches Astra on agentic coding, computer use and professional work at one-fifth of Astra's list price per token. OpenAI still positions Astra for its most demanding work. Run both on a sample of your real prompts and send only the requests where Astra wins to gpt-6-astra.
Does the GPT-6 Astra API support streaming, and what are the rate limits?
Yes. Set stream: true to receive tokens as they are generated, and add stream_options.include_usage to get token counts in the final chunk. You can give each zurelay API key its own requests-per-minute limit and monthly budget in the dashboard. If an upstream call errors or times out, zurelay retries it on another route before returning an error.
Is it the same GPT-6 Astra model OpenAI serves?
Yes. Requests to gpt-6-astra run on OpenAI's GPT-6 Astra, and zurelay never swaps in a smaller or cheaper model. As with any call to OpenAI, two responses to the same prompt can differ because of sampling. zurelay is independent and is not affiliated with or endorsed by OpenAI.
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