---
title: "OpenAI Releases GPT-6 Astra: 1M Context and $50 per Million Output Tokens at the Top of the Lineup"
url: https://xcube.enlightcorp.com.tw/en/news/openai-gpt-6-astra-release
category: "Frontier Models"
source_type: official
published: 2026-09-03
updated: 2026-09-03
lang: en
---

# OpenAI Releases GPT-6 Astra: 1M Context and $50 per Million Output Tokens at the Top of the Lineup

Published 2026-09-03 · Updated 2026-09-03 · Official release · Source: [OpenAI Developer Community](https://community.openai.com/t/introducing-gpt-6-astra-the-most-intelligent-and-aligned-model-in-the-world/1394703)

**Key answer:** GPT-6 Astra is OpenAI's top-tier model, released on September 3, 2026 for complex reasoning, coding, computer use, and long-running work, with a 1,050,000-token context window; it matters because frontier pricing and tooling are now oriented toward long autonomous execution, and its full toolset is exposed only through the Responses API.

OpenAI announced GPT-6 Astra on its official Developer Community on 2026-09-03, and the API Changelog for that day reads 'Released GPT-6 Astra, our most capable model, built for the hardest end-to-end work,' alongside new Responses API controls for long-running work. The model docs list a 1,050,000-token context window (922,000 max input), 128,000 max output tokens, and an April 30, 2026 knowledge cutoff. Pricing per million tokens is $10 input, $1 cached input, $12.50 cache writes, and $50 output.

The rollout was phased: the announcement said ChatGPT Pro, Enterprise, Business Premium, and Codex users would get access first, with API access starting with select partners and broadening within days. Reasoning effort options are low, medium, high, xhigh, and max; tools including web search, file search, code interpreter, hosted shell, computer use, MCP, and tool search are supported through the Responses API. From 2026-09-29 the Responses API also offers Ultrafast mode for GPT-6 Astra.

This shows frontier models shifting from 'better answers' to 'finishing a long piece of work on their own.' A $50 output price, xhigh / max reasoning effort, and a 128K output ceiling together raise the cost ceiling of a single task well above earlier models, so enterprises need to evaluate return at the task level rather than the token level.

Caveats: the claim of being 'the most intelligent and aligned model in the world' and its lead on Agents' Last Exam, AutomationBench, and ScreenSpot Pro are OpenAI's own claims pending independent evaluation.

Before connecting GPT-6 Astra to an enterprise environment, a few cost and control estimates help. At the official price, a single request that uses the full 128,000 output tokens costs about $6.40 in output alone, before input and reasoning tokens. Cached input at $1 per million tokens and cache writes at $12.50 mean that whether repeated long contexts hit the cache will noticeably affect the bill. In practice, Astra should get its own spend cap and allow-list, default to a lower reasoning effort with xhigh or max reserved for tasks that need it, and route any required tool calling through the Responses API rather than exposing Chat Completions alone.

What to watch: when API access is fully open to all organizations, how the long-running-work controls behave in practice (interruption, resumption, billing), and how much irreplaceable ground Astra retains now that GPT-6.1 Sol, released later the same month, approaches it at roughly one-fifth of the price.

## X Cube view

For a private AI platform, Astra-class models belong on controlled, high-value paths: the gateway should be able to restrict models per user or project, enforce spend caps, and record total cost per task. Because its tool capabilities live in the Responses API, a layer compatible only with chat/completions cannot fully proxy it.

Tags: OpenAI, GPT-6, Frontier Model, Agentic AI, Responses API, GPT-6 Astra, Codex, ChatGPT