大规模提供快速和有能力的计算机使用
GPT-6.1 Terra是一个快速高效的模型，结合了详细的视觉推理和精确的计算机使用，与GPT‐5.6 Terra相比，它迈出了重要的一步，它出色地完成了workday的通讯和计算机任务，从起草提案和解释技术图纸到填写表格和编辑视频。
Terra继续推进我们模范家庭的成本智能前沿，提供了速度、能力和成本的新平衡。 其标准API价格比GPT-5.6 Terra和GPT-6.1 Sol低50%，使得开发者能够将大量的工作自动化，比如读取收到的发票并将其细节输入会计软件。 在ChatGPT Work和Codex中，你的计划与GPT-6.1 Terra更进一步——同样的使用津贴涵盖的任务比GPT5.6 Terra多，比GPT6.1 Sol或GPT6 Astra多得多。
从视觉理解到行动
我们测量了GPT-6.1 Terra在Agents最后考试上的计算机使用能力，这是专业任务中的一个基准测试，包括将建筑图画变成3D模型，并逐一检视动画片拍摄，为修复团队创建时间码日志。 在中等推理努力中，GPT-6.1 Terra的得分比GPT-5.6 Terra高出15个百分点，成本约为三分之一。 它甚至与GPT-6 Astra一样，只按每件物价的十分之一。 在最大努力下，Terra比Claude Opus 5.5高3倍多的象征性效率，每令牌价格为四分之一，导致每任务成本~9x降低。 Terra也快得多，完成任务的速度比GPT-6 Astra和GPT-6.1 Sol快三倍。
在MMMU-Pro上，一个视觉推理的基准测试，GPT-6.1 Terra在每一个推理设置上都超越了表现GPT-5.6 Terra. 它甚至几乎与我们最有能力的前沿模型GPT-6 Astra和GPT-6.1 Sol的得分相匹配，成本要低得多。
OSWorld 2.1测试AI agents如何很好地使用桌面应用来完成多步任务，例如从技术图画中构建一个3D模型。 在中等推理努力中，GPT-6.1 Terra 超越 GPT-5. Terra的得分最好
在事实和编码方面迈出了重要一步
今年，我们投入大量资金减少我们的模型所产生的幻觉和事实错误。 在我们内部的基准测试诱导错误提示中，低推理努力的误差率从53.6%的GPT-5.6 Terra下降到16.7%的GPT-6.1 Terra，下降了近37个百分点。 在最大努力下，误差率下降了18个百分点，降至4.3%，几乎与GPT-6 Astra和GPT-6.1 Sol的误差率相匹配。
GPT-6.1 Terra比GPT-5.6 Terra在软件工程上有了很大的改进。 终端-Bench 4.0测试agents的编码如何很好地从命令行中解决问题，比如固定一个网页，其布局在加载时会转变。 在最大推理努力中，GPT‐6.1 Terra解决了50.3%的任务，双倍以上GPT‐5.6 Terra公布的得分为21.5%. 对于最复杂的编码任务，GPT-6.1 Sol和GPT-6 Astra仍然是更好的选择。
终端-Bench-Science 0.1测试agents如何很好地使用代码来完成科学研究任务，比如在时滞视频中跟踪细胞分裂。 在最大推理时，GPT-6.1 Terra 超越 GPT-6.1 以较低的成本解决，在Opus 5.5的五点之内，不到估计费用的五分之一。
安全与协调
随着我们提高强大的AI的效率和无障碍性，我们继续培训、测试和完善我们的保障措施。 GPT‐6.1 Terra符合我们备灾框架下的网络安全临界阈值，并维持为GPT‐6 Astra开发的保护。
GPT-6.1 Terra 带来随其而来，GPT-6系列的对齐改进。 根据我们的评价，与GPT-5.6 Terra相比，GPT-6.1 Terra更有可能留在范围之内，并诚实地向用户披露限制和潜在的阻断器。 在快速注射测试中，GPT-6.1 Terra也表现出强烈抵制旨在转移用户任务的恶意指令。 系统卡(在新窗口打开)中有更详细的内容。
定价和可用性
从今天开始，GPT-6.1 Terra面向ChatGPT Work和Codex中的所有Plus,Pro,Entertainment，和Edu用户。 开发者也可以通过OpenAI API作为gpt-6.1-terra访问。
标准API定价为每百万个输入令牌1元，每百万个缓存输入令牌0.5元，每百万个输出令牌5.
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Delivering fast and capable computer use at scale
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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