我们推出 GPT-6.1 Terra，这是一个快速、高效的模型，将细致的视觉推理和精准的计算机操作与更清晰、更自然的写作结合在一起。相比 GPT‑5.6 Terra 有显著提升，它擅长处理填满工作日的沟通和基于计算机的任务，从起草提案、解读技术图纸到填写表单和编辑视频。
Terra 继续推进我们各模型系列在成本-智能前沿上的进展，在速度、能力和成本之间提供新的平衡。其标准 API 价格比 GPT-5.6 Terra 和 GPT-6.1 Sol 低 50%，使开发者能够经济地自动化高批量工作，例如读取收到的发票并将其详细信息录入会计软件。在 ChatGPT Work 和 Codex 中，你的套餐搭配 GPT-6.1 Terra 能用得更久——相同的使用额度可覆盖比 GPT‑5.6 Terra 更多的任务，并且远多于 GPT‑6.1 Sol 或 GPT‑6 Astra。
从视觉理解到行动
我们在 Agents’ Last Exam 上测量了 GPT-6.1 Terra 的计算机使用能力，这是一个专业任务基准，包括将建筑图纸转化为 3D 模型，以及逐镜头审阅一部动画电影，为修复团队创建带时间码的日志。在中等推理努力下，GPT-6.1 Terra 的得分比 GPT-5.6 Terra 高 15 个百分点，而成本约为其三分之一。它甚至在每 token 价格仅为其十分之一的情况下，表现与 GPT-6 Astra 相当。在最大努力下，Terra 的 token 效率是 Claude Opus 5.5 的三倍以上，每 token 价格为其四分之一，从而使每任务成本降低约 9 倍。Terra 也快得多，完成任务的速度比 GPT-6 Astra 和 GPT-6.1 Sol 快三倍以上。
在视觉推理基准 MMMU-Pro 上，GPT-6.1 Terra 在每种推理设置下都优于 GPT-5.6 Terra。它甚至以低得多的成本几乎匹配我们能力最强的前沿模型 GPT-6 Astra 和 GPT-6.1 Sol 的分数。
OSWorld 2.1 测试 AI 智能体使用桌面应用完成多步骤任务的能力，例如根据技术图纸构建 3D 模型。在中等推理努力下，GPT-6.1 Terra 以每任务成本的一小部分超越了 GPT-5.6 Terra 的最佳分数。
在事实性和编程方面显著提升
今年，我们大力投入减少模型产生的幻觉和事实错误。在我们内部的诱导错误提示基准上，低推理努力下的错误率从 GPT-5.6 Terra 的 53.6% 降至 GPT-6.1 Terra 的 16.7%，下降了近 37 个百分点。在最大努力下，错误率下降了 18 个百分点至 4.3%，几乎与 GPT-6 Astra 和 GPT-6.1 Sol 的错误率持平。
GPT-6.1 Terra 在软件工程方面相比 GPT-5.6 Terra 有实质性改进。Terminal-Bench 4.0 测试编程智能体解决命令行问题的能力，例如修复一个加载时布局发生偏移的网页。在最大推理努力下，GPT‑6.1 Terra 解决了 50.3% 的任务，是 GPT‑5.6 Terra 已公布分数 21.5% 的两倍多。对于最复杂的编程任务，GPT-6.1 Sol 和 GPT-6 Astra 仍是更好的选择。
Terminal-Bench-Science 0.1 测试智能体使用代码执行科学研究任务的能力，例如在延时视频中追踪细胞分裂。在最大推理下，GPT-6.1 Terra 以更低成本超越 GPT-6.1 Sol，在估计成本不到 Opus 5.5 五分之一的情况下，分数差距在五分以内。
安全与对齐
在我们让强大 AI 更高效、更易获取的同时，我们继续训练、测试和改进我们的安全防护措施。根据我们的 Preparedness Framework，GPT‑6.1 Terra 在网络安全方面达到 Critical 阈值，并保持了为 GPT‑6 Astra 开发的防护措施。
GPT-6.1 Terra 带来了 GPT-6 系列的对齐改进。根据我们的评估，与 GPT-5.6 Terra 相比，GPT-6.1 Terra 更有可能保持在范围内，并诚实地向用户披露局限性和潜在阻碍。在我们的提示注入测试中，GPT-6.1 Terra 也表现出对旨在使其偏离用户任务的恶意指令的强抵抗力。更多细节见系统卡(在新窗口中打开)。
定价与可用性
从今天起，GPT-6.1 Terra 面向 ChatGPT Work 和 Codex 中的所有 Plus、Pro、Enterprise 和 Edu 用户开放。开发者也可以通过 OpenAI API 以 gpt-6.1-terra 访问它。
标准 API 定价为每百万输入 token 1 美元，每百万缓存输入 token 0.05 美元，每百万输出 token 5 美元。
We’re introducing GPT-6.1 Terra, a fast, efficient model that combines detailed visual reasoning and precise computer use alongside clearer, more natural writing. A significant step up from GPT‑5.6 Terra, it excels at the communication and computer-based tasks that fill the workday, from drafting proposals and interpreting technical drawings to filling out forms and editing videos.
Terra continues to advance the cost-intelligence frontier across our model families, providing a new balance of speed, capability, and cost. Its standard API prices are 50% lower than those of GPT-5.6 Terra and GPT-6.1 Sol, making it practical for developers to automate high-volume work, like reading incoming invoices and entering their details into accounting software. In ChatGPT Work and Codex, your plan goes further with GPT-6.1 Terra—the same usage allowance covers more tasks than with GPT‑5.6 Terra and substantially more than with GPT‑6.1 Sol or GPT‑6 Astra.
From visual understanding to action
We measured GPT-6.1 Terra’s computer-use capabilities on Agents’ Last Exam, a benchmark of professional tasks that includes turning architectural drawings into a 3D model and reviewing an animated film shot by shot to create a time-coded log for a restoration team. At medium reasoning effort, GPT-6.1 Terra scores 15 percentage points higher than GPT-5.6 Terra at about one-third the cost. It even performs on par with GPT-6 Astra at only one-tenth its price per token. At max effort, Terra is over three times as token efficient as Claude Opus 5.5, and one-fourth its price per token, resulting in a ~9x lower cost per task. Terra is also much quicker, completing tasks over three times faster than both GPT-6 Astra and GPT-6.1 Sol.
On MMMU-Pro, a benchmark of visual reasoning, GPT-6.1 Terra outperforms GPT-5.6 Terra at every reasoning setting. It even nearly matches the scores of our most capable frontier model, GPT-6 Astra, and GPT-6.1 Sol at much lower cost.
OSWorld 2.1 tests how well AI agents use desktop apps to complete multistep tasks, such as building a 3D model from a technical drawing. At medium reasoning effort, GPT-6.1 Terra surpasses GPT-5.6 Terra’s best score at a fraction of the cost per task.
A significant step up on factuality and coding
This year, we’ve invested heavily in reducing hallucinations and factual errors produced by our models. On our internal benchmark of error-inducing prompts, the error rate at low reasoning effort fell from 53.6% with GPT-5.6 Terra to 16.7% with GPT-6.1 Terra, a drop of nearly 37 percentage points. At maximum effort, the error rate fell by 18 percentage points to 4.3%, nearly matching the rates for GPT-6 Astra and GPT-6.1 Sol.
GPT-6.1 Terra marks a substantial improvement over GPT-5.6 Terra for software engineering. Terminal-Bench 4.0 tests how well coding agents solve problems from the command line, such as fixing a webpage whose layout shifts as it loads. At maximum reasoning effort, GPT‑6.1 Terra solves 50.3% of tasks, more than double GPT‑5.6 Terra’s published score of 21.5%. For the most complex coding tasks, GPT-6.1 Sol and GPT-6 Astra remain the better choice.
Terminal-Bench-Science 0.1 tests how well agents use code to carry out scientific research tasks, such as tracking cell divisions in a time-lapse video. At max reasoning, GPT-6.1 Terra surpasses GPT-6.1 Sol at lower cost, coming within five points of Opus 5.5 at less than one-fifth the estimated cost.
Safety and alignment
As we make powerful AI more efficient and accessible, we continue training, testing, and refining our safeguards. GPT‑6.1 Terra meets the Critical threshold in cybersecurity under our Preparedness Framework, and maintains the protections developed for GPT‑6 Astra.
GPT-6.1 Terra brings with it the alignment improvements of the GPT-6 series. According to our evaluations, GPT-6.1 Terra is more likely to stay within scope and honestly disclose limitations and potential blockers to the user compared to GPT-5.6 Terra. In our prompt-injection tests, GPT-6.1 Terra also showed strong resistance to malicious instructions designed to divert it from the user’s task. More detail is available in the system card(opens in a new window).
Pricing and availability
Starting today, GPT-6.1 Terra is available to all Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex. Developers can also access it through the OpenAI API as gpt-6.1-terra.
Standard API pricing is $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens.
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