上周，我们推出了 GPT‑6 Astra，这是全球最智能、最对齐的模型，现已在 ChatGPT Work、Codex 和 API 中提供。Astra 在计算机使用、浏览、专业工作、软件工程、网络安全和科学领域均处于最先进水平，因此团队能够以无与伦比的速度、准确性和判断力承担最严苛的专业工作。
全球最适合复杂工作的模型
大多数 AI 系统要求企业在交付价值之前先准备数据、重新设计工作流程并构建自定义集成。Astra 改变了这一点。在 ChatGPT Work 和 Codex 中，它可以编写代码，并通过人们日常使用的相同应用程序开展工作——即使这些应用程序没有 API。这意味着企业可以从第一天起就在现有工作流程中部署 AI，无需大量准备或工程工作。
Excel 竞赛：****GPT‑6 Astra 可以使用计算机使用功能完成 Financial Modeling World Cup 挑战，速度约为获胜人类参赛者的四倍——帮助分析师花更少时间构建模型，花更多时间解读结果和做出决策。来自**2023 Microsoft Excel World Championship**（在新窗口中打开）。
在推出后的最初几天内，我们已经看到客户将 Astra 投入使用，从优化 GPU 到发现财务报表中的差异，再到制作更符合品牌的演示文稿。
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在 OpenAI，Astra 在发布前数周就在内部推广，因此我们亲眼看到了计算机使用等前沿能力如何改变我们的工作方式。我们的开发和营销团队使用 Astra 和 Codex，将三小时的多机位素材制作成了我们的 GPT‑6 Astra Developer First Impressions 视频（在新窗口中打开），该视频在短短 4 天内就获得了超过 55 万次观看。我们的工程团队使用 Astra 发现并解决了一个内存分配瓶颈，该瓶颈导致测试环境中的 Codex 会话缓慢。通过切换分配器，他们实现了 25 倍的回合延迟降低，同时峰值内存使用量大约提高了 30%。
Astra 还更擅长遵循公司的语气、模板和设计标准，因此首次输出结果就更接近团队可以直接使用的内容。
参考文件
GPT‑6 Astra 输出
GPT‑6 Astra 仅使用 OpenAI 演示模板中的几张幻灯片，制作了一个关于虚构模型 GPT‑Gaia 的幻灯片，并全程捕捉到了正确的语气和布局。这意味着你可以期待幻灯片按照你的业务标准正确格式化。
每一美元带来更多有用工作
Astra 延续了我们提供极其高效模型的承诺，为客户带来每一美元更多有用工作。它经过训练，可以用更少的 token 和更少的重试完成任务，这意味着更少的返工和更低的每任务成本。借助 Astra，OpenAI 在专业工作和编码评估中占据了成本效率前沿的大部分，包括 Terminal Bench 4.0 和 Artificial Analysis Intelligence Index。定价为每百万输入 token 10 美元起，每百万输出 token 50 美元起。
Terminal-Bench 4.0 在复杂的基于终端的任务上测试智能体，包括软件工程、系统配置和数据分析。GPT‑6 Astra 达到 57.9% 的新高，而 GPT‑5.6 Sol2为 37.3%，Claude Fable 5.1 为 55.8%，估计每任务 API 成本分别低约 9% 和 63%。
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为重要工作提供更多安全性和控制
让 AI 访问业务系统需要对其行为方式有信心。考虑到这一点，Astra 是我们迄今为止最对齐的模型，对人类意图和授权的遵循更强。
在训练期间，我们在内部计算机使用安全基准上测试了 Astra，该基准针对最困难的业务场景测试模型，例如暴露机密信息、过度广泛地共享仪表板或删除数据。在该评估中，Astra 产生意外结果的频率比 GPT‑5.6 Sol 低 89%，比 Claude Fable 5.1 低 74.7%。额外的确认和自动审查进一步提升了 GPT‑6 Astra 和 GPT‑5.6 Sol 的表现。
组织还可以决定 Astra 的部署范围。新的企业管理员控制允许他们限制对已批准网站和桌面应用程序的访问、管理上传和下载，并控制浏览历史记录。ChatGPT Work 和 Codex 还包括确认策略等保障措施，这些策略可以要求在执行重要操作前获得批准，并自动审查可能不安全或未经授权的工具调用。这些控制允许团队从有限配置开始，并随着时间推移扩大访问范围。
为了进一步扩展访问，除了 Astra，我们还在 ChatGPT Desktop 中推出新的企业插件。这些插件由最新的浏览器使用能力驱动，来自 Oracle Analytics、Power BI（Microsoft Fabric 服务）、Navan 和 Avalara，使访问熟悉的企业应用程序变得更加容易。
Astra（在新窗口中打开） 也是首个在我们的准备框架下达到关键网络安全能力阈值的模型。随着能力提升，我们加强了保护措施（在新窗口中打开），以防止滥用和模型采取未经授权的行动，包括训练 Astra 尊重安全和安保边界、提高其抵御绕过保障措施的尝试的能力，并部署旨在阻止有害响应的自动检查。
符合条件的 API 客户可在受支持的端点上使用零数据保留，但需获得批准。
立即开始使用 Astra
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.
The world’s best model for complex work
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.
Excel competition:****GPT‑6 Astra can complete Financial Modeling World Cup challenges using computer use aboutfour times as fastas 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).
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.
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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) 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.
Reference file
GPT‑6 Astra output
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.
More useful work for every dollar
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.
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 Sol2and 55.8% for Claude Fable 5.1, at approximately 9% and 63% lower estimated API cost per task, respectively.
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More safety and control for consequential work
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 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) is also the first model to reach the Critical cybersecurity capability threshold under our Preparedness Framework. With that increased capability, we’ve strengthened protections(opens in a new window) 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.
Start using Astra today
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