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OpenAI's GPT-6.1 Terra can use a computer at half the price

OpenAI released GPT-6.1 Terra on 26 October. It reads the screen and works in apps, and in the API it costs half as much per input as the Terra before it.

By Didset Media3 min read

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The news

OpenAI released GPT-6.1 Terra on 26 October 2026. OpenAI built it mainly for computer use and visual tasks: it reads what is on the screen and takes steps in apps, such as filling in forms, reading technical drawings and repeating routine desktop work. It sits below OpenAI's larger GPT-6.1 Sol and GPT-6 Astra models.

In ChatGPT it is available to Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex. Developers reach it through the API as gpt-6.1-terra. The API price is $1 per million input tokens and $5 per million output tokens, against $2 and $12 for GPT-5.6 Terra. It accepts up to about 920,000 tokens of input, takes text and images, and answers in text.

OpenAI says it finishes tasks more than three times faster than GPT-6 Astra and GPT-6.1 Sol, and performs on par with GPT-6 Astra at about a tenth of its price per token. On OpenAI's own test, its error rate at low reasoning effort fell from 53.6% with GPT-5.6 Terra to 16.7%. These are OpenAI's own figures, not independent tests. For complex coding, OpenAI still recommends GPT-6.1 Sol or GPT-6 Astra. OpenAI has not announced an end date for GPT-5.6 Terra.

What it means for you

  • Work where a person clicks through screens, such as copying orders between systems or filling in supplier portals, gets cheaper and faster to hand to AI.
  • If your software already uses GPT-5.6 Terra, moving to the new model can cut the bill: input costs half as much and output less than half.
  • In ChatGPT it is for Plus, Pro, Enterprise and Edu users. Free accounts do not get it.
  • The speed and price claims come from OpenAI, so test it on your own tasks before you rely on it.

What to do now

  1. List the repetitive screen work in your team, such as typing the same data into two systems, and pick one task to test.
  2. If you use the OpenAI API, run gpt-6.1-terra on a copy of a real task and compare the cost and the mistakes with your current model.
  3. Keep a person checking the results before the AI acts on customers, payments or stock.
  4. Where both systems have an API, connect them directly. That is cheaper and steadier than an AI clicking through screens.

How Didset can help

We build AI workflows and integrations, and we can test whether GPT-6.1 Terra or a direct connection between your systems suits a task better.

Talk to us about it

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