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GPT-6 Astra

GPT-6 Astra is OpenAI's newest frontier model with a 1.05M context window, 128K max output and advanced reasoning, coding and computer-use tools.

General Purpose Language ModelTextImage Paid
In plain English

What is this model and why does it matter?

GPT-6 Astra is OpenAI's newest frontier model for the hardest end-to-end reasoning, coding, computer-use and professional workflows.

Complex professional workCoding agentsComputer useDeep researchScientific reasoningDocument and artifact creation
Model overview

GPT-6 Astra: features, use cases and important details

GPT-6 Astra is OpenAI’s newest frontier model for demanding end-to-end professional work.

Verified model facts

OpenAI documents a 1.05M-token context window, 128K maximum output, an April 30 2026 knowledge cutoff, text and image input, advanced reasoning and support for function calling, structured outputs, web search, file search, code execution and computer use.

Current status

Astra launched on September 3, 2026 and is rolling out across OpenAI products and the API.

Best fit

It is best for complex coding agents, deep research, scientific reasoning, professional document work and tasks that require operating tools or software.

Limitations

It is expensive relative to smaller models, access is still rolling out, and large-context requests use higher pricing.

Get started

How to use this model

  1. Create an OpenAI API key.
  2. Use model gpt-6-astra in the Responses API.
  3. Choose an appropriate reasoning effort.
  4. Enable tools such as web search, file search, computer use or code execution when needed.
  5. Monitor token use carefully for prompts above 272K tokens.
Copy and try

Example prompts

  • Complete this multi-step research and implementation project using the available tools.
  • Review these documents and produce a polished executive deliverable.
  • Inspect this software project, fix the issue and verify the result.
Capabilities

What it can do

  • 1.05M context
  • 128K max output
  • Advanced reasoning
  • Coding
  • Computer use
  • Web search
  • File search
  • Structured outputs
  • Function calling
Best for

Practical use cases

  • Professional workflows
  • Software engineering
  • Research
  • Science
  • Agents
  • Large-document analysis
Pricing

What does it cost?

$10.00 per 1M input tokens, $1.00 per 1M cached input tokens and $50.00 per 1M output tokens. Prompts above 272K input tokens use higher long-context rates.

Input$10.00 / 1M tokens
Output$50.00 / 1M tokens
Simple summaryStandard API pricing is $10/M input and $50/M output; Batch and Flex cost 50% of standard rates, while very long prompts cost more.

What stands out

  • OpenAI's most capable model
  • Very large context
  • Strong computer use
  • Broad tool support
  • Large output limit

Things to consider

  • High per-token cost
  • Limited rollout at launch
  • Proprietary
Limitations

Important restrictions and trade-offs

  • Long-context requests above 272K use higher pricing
  • Can still make factual or agentic mistakes
  • Access may depend on rollout and account eligibility
SimplifyAITools verdict

Our editorial take

The strongest OpenAI model for difficult end-to-end work when quality matters more than token price.

References

Primary sources

  1. Open source 1 ↗
  2. Open source 2 ↗
  3. Open source 3 ↗
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