OpenAI发布GPT-6.1 Terra：主打视觉推理与电脑操作，定价减半
GPT-6.1 Terra
GPT-6.1 Terra
It's always interesting to note which aspects of a new model are emphasized in the release announcement.
留意新模型发布声明中强调的方面总是很有趣。
In the case of GPT-6.1 Terra, OpenAI went with visual reasoning and computer use:
就 GPT-6.1 Terra 而言，OpenAI 侧重于视觉推理和计算机操作：
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.
我们推出 GPT-6.1 Terra，这是一款快速、高效的模型，结合了详细的视觉推理和精确的计算机操作能力，同时具备更清晰、更自然的写作风格。与 GPT‑5.6 Terra 相比，它有了显著提升，擅长处理填充工作日的沟通和基于计算机的任务，从起草提案和解读技术图纸到填写表格和编辑视频。
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.
Terra 在 Anthropic 模型系列中的地位与 Sonnet 相同——既不是最便宜的，也不是最昂贵的，这使得在使用时更难做出选择。
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.
计算机操作是一个受益于较便宜模型的典型例子，因为你可以将其用于自动化的重复性任务。
OpenAI's Ted Sanders provided some useful advice in a comment on Hacker News:
OpenAI 的 Ted Sanders 在 Hacker News 的一条评论中提供了一些有用的建议：
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.
就 GPT-6.1 Terra 而言，我认为它在技术沟通方面可能比 Astra 和 Sol 更好，在视觉和计算机操作方面表现相似（但速度快得多！），而在大多数其他方面则稍逊一筹。对于 API 开发者来说，如果你想要一个比 Sol 便宜但比 Luna 聪明得多的选项（特别是在视觉/计算机操作/沟通方面），这是一个不错的中端选择。对于订阅用户来说，这不是一款爆炸性的发布产品——如果你遇到了使用量限制，它或许能帮你多用一点；如果你需要更清晰的沟通或更快的计算机操作，它可以作为一个不错的选择。
Here are the pelicans for the different reasoning levels. This pelican for "max" cost 11.3161 cents and took 4 minutes and 11 seconds:
以下是不同推理级别对应的鹈鹕图。这只代表“max”级别的鹈鹕花费了 11.3161 美分，耗时 4 分 11 秒：
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.
这是一张新的对比网格图，展示了 OpenAI 当前前沿产品线中每个推理级别对应的鹈鹕：GPT-6 Astra、GPT-6.1 Sol、GPT-6.1 Terra 和 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.
GPT-6.1 Terra 的价格为每百万输入令牌 1 美元，每百万输出令牌 5 美元——几乎是 GPT-5.6 Terra 和 GPT-6.1 Sol 价格的一半，约为 GPT-6 Luna 价格的 10 倍。
Via Hacker News
来源：Hacker News
Tags: ai, openai, generative-ai, llms, llm-pricing, pelican-riding-a-bicycle, llm-release, gpt
标签：ai, openai, generative-ai, llms, llm-pricing, pelican-riding-a-bicycle, llm-release, gpt
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