大规模提供快速而能用的计算机
GPT-6.1 Terra是一个快速高效的模型，与GPT‐5.6 Terra相比，它迈出了一大步，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录像。
Terra继续推进我们模范家庭的成本智能前沿，提供速度、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低了50%，使得开发者能够将高容量的工作自动化，比如阅读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——相同的使用津贴涵盖的任务比GPT=5.6 Terra多，比GPT=6.1 Sol或GPT=6. Astra多得多。
从视觉理解到行动
我们测量了GPT-6.1 Terra在Agents ' Last Exam上的计算机使用能力，这是一份基准测试专业任务，包括将建筑图画变成3D模型并逐一审查一出动画片来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，只以每平价的十分之一进行演出。 在最大努力中，Terra比Claude Opus 5.5高出三倍多的象征性效率，每令牌价格为四分之一，导致每任务成本~9x更低。 Terra也快得多，完成任务的速度比GPT-6 Astra和GPT-6.1 Sol都快三倍。
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性能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的分数相匹配，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，例如从技术图纸上构建出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一大步
今年，我们投入了大量资金来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出错提示中，低推理努力出错率从53.6%与GPT-5.6 Terra下降到16.7%与GPT-6.1 Terra，下降了近37个百分点。 在最大努力下，出错率下降了18个百分点至4.3%，几乎与GPT-6 Astra和GPT-6.1 Sol的出错率相匹配。
GPT-6.1 Terra标志着软件工程与GPT-5.6 Terra相比有了很大的改进。 终端- Bench 4.0测试agents编码如何从命令行中解决问题，例如固定一个网页，其布局在加载时会转变。 GPT‐6.1 Terra在最大推理努力中解决了50.3%的任务，超过GPT‐5.6 Terra公布的得分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测试了agents如何很好地使用代码来执行科研任务，比如在被时滞的视频中跟踪细胞分裂。 在最大推理时，GPT-6.1 Terra 超越 GPT-6. 以更低的成本解决，进入了Opus 5.5的五分之内，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的效率和可获取性，我们继续培训、测试和完善我们的保障措施。 GPT‐6.1 Terra达到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 带来与之并列GPT-6系列的对接改进。 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塞器。 GPT-6.1 Terra在快速注射测试中也表现出强烈的抵制，系统卡(在新窗口打开)中有更详细的信息。
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美元，缓存输入令牌为每百万个0.5美元，输出令牌为每百万个。
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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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