OpenAI 发布 GPT-6 Astra，面向专业工作场景

OpenAI 发布 GPT-6 Astra，面向专业工作场景 这条更新来自 openai.com，发布时间为 2026-09-09，Aioga 保留原文入口以便核验。

摘要：OpenAI 发布 GPT-6 Astra，已在 ChatGPT Work、Codex 和 API 提供，定价为每百万输入 token $10、输出 token $50。

背景：公开材料显示，GPT-6 Astra 的定价为每百万输入 token 10 美元、每百万输出 token 50 美元，覆盖 ChatGPT Work、Codex 和 API。

Aioga 观察：Aioga 判断：材料明确呈现了 GPT-6 Astra 的产品名称、面向场景、提供渠道与价格，但未说明其具体能力、性能差异或用户规模。

影响与后续：可能影响：开发者和专业工作场景的使用成本需要结合输入、输出 token 消耗评估；该定价不代表产品能力或实际收益已被材料证实。 后续观察：应关注 OpenAI 是否补充 GPT-6 Astra 的能力说明、适用范围、性能依据及不同渠道的具体使用条件，以便进一步判断其影响。

Our most capable model, built for all the work businesses need to get done.

Last week we introduced GPT‑6 Astra, the world’s most intelligent and aligned model, now available in ChatGPT Work, Codex, and the API. Astra is state-of-the-art on computer use, browsing, professional work, software engineering, cybersecurity, and science, so teams can take on the most demanding professional work with unmatched speed, accuracy, and judgment.

Most AI systems require businesses to prepare their data, redesign workflows, and build custom integrations before they can deliver value. Astra changes that. In ChatGPT Work and Codex, it can write code and work through the same applications people use every day—even when those applications don’t have an API. That means businesses can put AI to work within their existing workflows from day one, without extensive preparation or engineering work.

Within the first few days of rollout, we’re already seeing customers put Astra to work, from optimizing GPUs to spotting discrepancies in financial statements to producing more on-brand decks.

At OpenAI, Astra was rolled out internally weeks before launch, so we saw first hand how bleeding-edge capabilities like computer use could change the way we work. Our developer and marketing teams used Astra and Codex to turn three hours of multicamera footage into our GPT‑6 Astra Developer First Impressions video ⁠ (opens in a new window) ：https://www.youtube.com/watch?v=-TTyyY3VWh8 which has already garnered over 550k views in just 4 days. Our engineering team used Astra to uncover and resolve a memory-allocation bottleneck that was causing slow Codex sessions in a test environment. By switching allocators, they were able to produce 25× lower turn latency with roughly 30% higher peak memory use.

Astra is also better at following a company’s voice, templates, and design standards, so the first result is closer to something a team can put to use.

Astra continues our commitment to providing extremely efficient models that deliver more useful work per dollar to our customers. It's been trained to complete tasks in fewer tokens with fewer retries, which means less rework and lower cost per task. With Astra, OpenAI occupies the majority of the cost-efficiency frontier on professional work and coding evaluations, including Terminal Bench 4.0 and Artificial Analysis Intelligence Index. Pricing starts at $10 per million input tokens and $50 per million output tokens.

Giving AI access to business systems requires confidence in how it will act. With this in mind, Astra is our most aligned model yet, with stronger adherence to human intent and authorization.

During training, we tested Astra on our internal computer use safety benchmark ⁠：https://openai.com/index/gpt-6-astra/#:~:text=Internal%20computer%20use%20safety%20benchmark%20(lower%20is%20better) which tests models against the hardest business scenarios such as exposing confidential information, sharing a dashboard too broadly, or deleting data. In this evaluation, Astra produced unintended outcomes 89% less often than GPT‑5.6 Sol and 74.7% less often than Claude Fable 5.1. Additional confirmation and automated review further improved performance for GPT‑6 Astra and GPT‑5.6 Sol.

Organizations can also decide how broadly to deploy Astra. New enterprise admin controls let them restrict access to approved websites and desktop applications, manage uploads and downloads, and control browsing history. ChatGPT Work and Codex also include safeguards such as confirmation policies, which can require approval before consequential actions, and automated review of potentially unsafe or unauthorized tool calls. These controls allow teams to start with a limited configuration and expand access over time.

To further access, alongside Astra, we’re also launching new enterprise plugins in ChatGPT Desktop. Powered by the latest browser use capabilities, plugins from Oracle Analytics, Power BI (a Microsoft Fabric service), Navan, and Avalara make it easier to access familiar enterprise applications.

Astra ⁠ (opens in a new window) ：https://deploymentsafety.openai.com/gpt-6-astra is also the first model to reach the Critical cybersecurity capability threshold ⁠：https://openai.com/index/path-to-astra/ under our Preparedness Framework ⁠：https://openai.com/index/updating-our-preparedness-framework/ . With that increased capability, we’ve strengthened protections ⁠ (opens in a new window) ：https://deploymentsafety.openai.com/gpt-6-astra against both misuse and the model taking unauthorized actions including training Astra to respect safety and security boundaries, improving its resistance to attempts to bypass safeguards, and deploying automated checks designed to block harmful responses.

Zero Data Retention is available for eligible API customers on supported endpoints, subject to approval.

Try GPT‑6 Astra in ChatGPT Work ⁠ (opens in a new window) ：https://chatgpt.com/?openaicom-did=6f16164e-3417-4d34-9157-8c63ea60434c&openaicom_referred=true or Codex ⁠ (opens in a new window) ：https://chatgpt.com/?openaicom-did=6f16164e-3417-4d34-9157-8c63ea60434c&openaicom_referred=true , or build it into your own products and workflows through the API ⁠ (opens in a new window) ：https://developers.openai.com/api/docs/models/gpt-6-astra .

Enterprise administrators can enable Astra under their applicable rate card and agreement. Enterprise access is off by default at launch.

Excel competition: GPT‑6 Astra can complete Financial Modeling World Cup challenges using computer use about four times as fast as the winning human competitor—helping analysts spend less time building models and more time interpreting results and making decisions. From the 2023 Microsoft Excel World Championship ⁠ (opens in a new window) ：https://play.excel-esports.com/ .

GPT‑6 Astra creates a slideshow about GPT‑Gaia, a fictional model, using just a few slides from OpenAI’s presentation template, capturing the correct tone and layout throughout. This means you can expect slide decks that are correctly formatted for your business standards.

Terminal-Bench 4.0 tests agents on complex terminal-based tasks, including software engineering, system configuration, and data analysis. GPT‑6 Astra reaches a new high at 57.9%, compared with 37.3% for GPT‑5.6 Sol 2：#citation-bottom-2 and 55.8% for Claude Fable 5.1, at approximately 9% and 63% lower estimated API cost per task, respectively.