OpenAI 发布 GPT-6.1 Terra:聚焦视觉推理与 Computer Use 的中端主力模型
英文标题:GPT-6.1 Terra
OpenAI 正式推出 GPT-6.1 Terra,主打精细的视觉推理能力、更快的计算机操控(Computer Use)以及更清晰自然的文字沟通。在定价方面,该模型输入每百万 Token 仅需 1 美元,输出每百万 Token 需 5 美元,成本较旗舰级 Sol 降低近半。其定位类似于 Anthropic 的 Sonnet,在速度与成本之间取得了良好平衡。对于 API 开发者和自动化工作流而言,GPT-6.1 Terra 提供了一个远聪明于轻量级 Luna、运行成本更优且推理速度更快的实用选择。
86.6 KB
中文
GPT-6.1 Terra(来源)每次新模型发布时,观察官方在公告中着重强调哪些特性总是很有意思。
在 GPT-6.1 Terra 的案例中,OpenAI 选择突出了视觉推理和计算机操控(computer use):
我们正式推出 GPT-6.1 Terra,这是一款快速、高效的模型,将细致的视觉推理与精准的计算机操控相结合,同时带来了更清晰、更自然的写作表达。相比 GPT‑5.6 Terra,它有了显著提升,在占据日常工作的大量沟通与基于计算机的任务中表现出色,从起草方案、解读工程图纸,到填写表单和视频剪辑均可胜任。
Terra 在 OpenAI 模型体系中的定位类似于 Anthropic 模型家族中的 Sonnet——既不是最便宜的,也不是最昂贵的,这有时会让开发者在权衡何时选用它时有些犹豫。
计算机操控(Computer use)正是能从更低成本模型中显著获益的典型任务场景,因为你可能会让它来执行各种自动化和重复性任务。
OpenAI 的 Ted Sanders 在 Hacker News 的一条评论中给出了实用的参考建议:
就 GPT-6.1 Terra 而言,我认为 Terra 在技术沟通方面可能优于 Astra 和 Sol,在视觉和计算机操控方面表现相当(但速度要快得多!),而在大多数其他方面则略逊一筹。对于 API 开发者来说,如果你想要一款比 Sol 便宜但比 Luna 聪明得多的选择(尤其在视觉 / 计算机操控 / 沟通方面),它是一个非常不错的性价比中端选项。对于订阅用户来说,这不算一个惊天动地的大版本——如果你经常遇到用量上限,它或许能帮你走得更远一些;如果你需要更清晰的沟通表达或更敏捷的计算机操控,它是一个值得选用的理想选项。
这里展示了不同推理级别的鹈鹕绘制效果。其中“max”级别的这只鹈鹕耗费了 11.3161 美分,用时 4 分 11 秒:

这是一个全新的对比展示网格,呈现了 OpenAI 当前前沿阵容在各个推理级别下的鹈鹕绘制表现:GPT-6 Astra、GPT-6.1 Sol、GPT-6.1 Terra 以及 GPT-6 Luna。
GPT-6.1 Terra 的定价为输入每百万 Token 1 美元,输出每百万 Token 5 美元——几乎只有 GPT-5.6 Terra 和 GPT-6.1 Sol 价格的一半,大约是 GPT-6 Luna 价格的 10 倍。
English / 原文
GPT-6.1 Terra (via) It's always interesting to note which aspects of a new model are emphasized in the release announcement.
In the case of GPT-6.1 Terra, OpenAI went with visual reasoning and computer use:
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 sits in the same position as Sonnet in the Anthropic model collection - not the cheapest or the most expensive, making it harder to decide when to use it.
Computer use is a good example of a task that benefits from a less expensive model, since you might put it to work on automated, repetitive tasks.
OpenAI's Ted Sanders provided some useful advice in a comment on Hacker News:
In the case of GPT-6.1 Terra, I'd say Terra is probably better than Astra and Sol at technical communication, similar on vision and computer use (but much faster!), and a bit worse on most other things. For API developers, it's a nice midrange option if you want something cheaper than Sol but a lot smarter than Luna (especially for vision / computer use / communication). For subscribers, it's not a bombshell release - if you're hitting usage limits, maybe it helps you go a bit further, and if you want clearer communication or faster computer use, it can be a nice option to select.
Here are the pelicans for the different reasoning levels. This pelican for "max" cost 11.3161 cents and took 4 minutes and 11 seconds:

Here's a new comparison grid showing pelicans for every reasoning level of OpenAI's current frontier lineup: GPT-6 Astra, GPT-6.1 Sol, GPT-6.1 Terra, and GPT-6 Luna.
GPT-6.1 Terra is priced at $1/million input tokens and $5/million output - almost half the price of GPT-5.6 Terra and GPT-6.1 Sol, and around 10x the price of GPT-6 Luna.