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OpenAI

GPT-6 Astra

OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools.

Plain-English overview

What GPT-6 Astra actually is

GPT-6 Astra is designed for multistep work across coding, research, browsers, documents, and professional software. It accepts text and images, returns text, and works with functions, search, code execution, computer use, image generation, skills, MCP, and other Responses API tools.

Astra can vary its reasoning from low through max and supports mid-turn steering and asynchronous tool calls. That flexibility suits long-running agents, but the premium token price and long-context multiplier make routing, caching, and task-level cost measurement especially important.

Good fit for

  • Complex, long-running agent workflows
  • Repository-scale coding and computer use
  • Research and document creation with several tools

Category comparison

The facts that matter for text models

These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.

Context window
1.05M tokensMaximum combined prompt and working context documented by the provider.
Maximum output
128K tokensProvider-published response limit, where available.
Knowledge cutoff
April 30, 2026Latest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff.
Input price
$10 / 1MCurrent standard list price per million input tokens unless noted.
Output price
$50 / 1MCurrent standard list price per million output tokens unless noted.
Inputs
Text, imageMedia types accepted by the listed model endpoint.
Tools & agents
Functions, search, code, computer, image, MCPSelected native tools and agent-building capabilities, not an exhaustive list.

Pricing & comparisons

Estimate your cost

Set your usage. Your estimate updates as you type.

Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.

One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.

Advanced options

GPT-6 Astra

OpenAI

Estimated total (USD)

$0.085

For the usage above · USD · API pricing, not a subscription

Input tokens
$10.00 per 1M tokens
Output tokens
$50.00 per 1M tokens
How this estimate works

Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.

API and provider access

Where to get GPT-6 Astra

Availability

Regions and access stage

Initial access is rolling out through OpenAI's Trusted Access Program, followed by the API and eligible ChatGPT plans over the coming days.

Access depends on account eligibility and rollout timing; OpenAI has not published an Astra-specific country matrix.

Check live availability

Data and training

The route matters.

OpenAI says API content is not used for model training by default. Standard abuse-monitoring logs may be retained for up to 30 days, with additional controls available to qualifying organizations.

This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.

Read the provider policy

Frequently asked questions

GPT-6 Astra FAQ

What is GPT-6 Astra?

OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools. GPT-6 Astra is designed for multistep work across coding, research, browsers, documents, and professional software. It accepts text and images, returns text, and works with functions, search, code execution, computer use, image generation, skills, MCP, and other Responses API tools.

When was GPT-6 Astra released?

GPT-6 Astra was released on September 4, 2026 according to the cited provider materials.

Where can I access GPT-6 Astra?

Initial access is rolling out through OpenAI's Trusted Access Program, followed by the API and eligible ChatGPT plans over the coming days. The access routes listed in this guide are OpenAI.

How much does GPT-6 Astra cost?

$10 input · $50 output / 1M tokens. Cached input is $1 per million tokens and cache writes are $12.50. Requests above 272K input tokens use 2× input/cache rates and 1.5× output rates for the full request; Batch and Flex are 50% of Standard.

Where is GPT-6 Astra available?

Initial access is rolling out through OpenAI's Trusted Access Program, followed by the API and eligible ChatGPT plans over the coming days. Access depends on account eligibility and rollout timing; OpenAI has not published an Astra-specific country matrix.

Is my GPT-6 Astra API data used for training?

OpenAI says API content is not used for model training by default. Standard abuse-monitoring logs may be retained for up to 30 days, with additional controls available to qualifying organizations. The policy belongs to the provider route and account terms, so verify it again before production use.

Price comparison

USD per million tokens for the shown API routes at standard context length. Cache and long-context rates may differ. Models without matching reviewed prices are omitted; lower cost does not mean better quality.

Input token costsper 1M tokens · USD
  1. $0.15
    Mistral Small 4

    Mistral AI

  2. $0.75
    Gemini 3.8 Flash

    Google

  3. $4.00
    GPT-5.6 Sol

    OpenAI

  4. $10.00
    GPT-6 Astra

    OpenAI

    This model

  5. $10.00
    Claude Fable 5.1

    Anthropic

Output token costsper 1M tokens · USD
  1. $0.60
    Mistral Small 4

    Mistral AI

  2. $3.75
    Gemini 3.8 Flash

    Google

  3. $20.00
    GPT-5.6 Sol

    OpenAI

  4. $50.00
    GPT-6 Astra

    OpenAI

    This model

  5. $50.00
    Claude Fable 5.1

    Anthropic

Related comparisons

Head-to-head comparisons

  1. GPT-6 Astra vs GPT-5.6 Sol

    OpenAI's flagship general model for difficult coding, analysis, and professional work, with a very large context window and a broad native tool set.

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  2. GPT-6 Astra vs Claude Fable 5.1

    Anthropic's frontier model for ambitious, long-running agentic and coding work, with strong vision and enterprise marketplace availability.

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  3. GPT-6 Astra vs Gemini 3.8 Flash

    Google's stable, high-efficiency multimodal model for agents, software work, and large mixed-media inputs at an introductory Flash-tier price.

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  4. GPT-6 Astra vs Grok 4.6

    SpaceXAI's frontier text-and-image model for coding, agentic tasks, and knowledge work, with direct web, X, and code tools.

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  5. GPT-6 Astra vs Grok 4.20 Multi-Agent Beta

    A specialist Grok model that sends several AI agents to investigate a difficult question in parallel, then combines their work into one researched answer.

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  6. GPT-6 Astra vs Inkling

    Thinking Machines Lab's large open-weights model for customizable reasoning, coding, tools, vision, and audio workflows.

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  7. GPT-6 Astra vs Mistral Medium 3.5

    Mistral's open-weight frontier model for demanding multimodal, coding, reasoning, and agent workflows, with a 256K context window.

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  8. GPT-6 Astra vs Mistral Small 4

    Mistral's lower-cost open model that combines normal instruction following, reasoning, coding, vision, and agent tools in one endpoint.

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  9. GPT-6 Astra vs Qwen3.8 Max

    Alibaba's frontier Qwen model for long-context reasoning, coding, tools, and understanding text, images, and video.

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  10. GPT-6 Astra vs MiniMax M3

    MiniMax's million-token multimodal model for coding, agents, computer use, and long projects at a low direct API price.

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  11. GPT-6 Astra vs GLM-5.3

    Z.ai's open-weight long-context reasoning model for coding, tools, and agentic work across self-hosted and managed routes.

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  12. GPT-6 Astra vs Kimi K3

    Moonshot AI's frontier multimodal model for million-token coding, reasoning, knowledge work, and tool-driven agents.

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  13. GPT-6 Astra vs Falcon-H1R-7B

    TII's compact open reasoning model for text tasks, long contexts, and self-hosted function-calling workflows.

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  14. GPT-6 Astra vs Falcon-H1-34B-Instruct

    TII's 34B open instruction model for multilingual text, coding, and controlled self-hosted applications.

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  15. GPT-6 Astra vs Muse Spark 1.3

    Meta's latest multimodal reasoning model for long-running agents, coding, tools, and complex user collaboration.

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  16. GPT-6 Astra vs Celeris-1 Magnus

    Celeris' agent-focused diffusion language model for fast reasoning, tool loops, structured actions, and OpenAI-compatible integration.

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  17. GPT-6 Astra vs NVIDIA Nemotron 3 Ultra

    NVIDIA's largest Nemotron 3 reasoning model for complex agents, coding, planning, tools, RAG, and million-token analysis.

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  18. GPT-6 Astra vs NVIDIA Nemotron 3.5 Lightning

    NVIDIA's compact 30B mixture-of-experts model for efficient specialist agents and high-volume text workflows.

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  19. GPT-6 Astra vs Qwen3.8-Flash

    Alibaba's efficient million-context multimodal model for fast agents, coding, document work, vision, video understanding, and tool use.

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  20. GPT-6 Astra vs DeepSeek-V4-Pro

    DeepSeek's flagship million-context text model for difficult reasoning, coding, long-running agents, tools, and very large outputs.

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  21. GPT-6 Astra vs DeepSeek-V4-Flash

    DeepSeek's lower-cost V4 model for high-volume reasoning, coding, agents, and million-token text workloads.

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