GPT-6.1 Terra opens another route to useful AI tools

Another option to try

OpenAI introduced GPT-6.1 Terra on October 26 in ChatGPT Work, Codex, and the API, a paid connection through which apps can use AI. OpenAI describes support for understanding visual information, using a computer, and writing. Terra is available in Work and Codex, rather than the Chat tab.

The standard API prices are $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens. Tokens are small pieces of information used to measure what you send and receive. Cached input means previously saved input that can be reused.

OpenAI says those prices are 50% below GPT-5.6 Terra and GPT-6.1 Sol. That comparison covers the price of tokens, so a finished task will not necessarily cost half as much. API use is also billed separately from a ChatGPT subscription. A useful trial should consider quality, waiting time, privacy, and reliability alongside price.

Read the announcement: OpenAI model release notes: GPT-6.1 Terra, October 26, 2026.

Choose a task you can understand

Look for something that repeats and produces a result you can check. You could try drafting a reply to a request, or bringing updates together before a team meeting. Describe what takes time and what should become easier. Keep the first trial small enough to review every answer.

A clearer form, a better handover, or a connection between existing tools might also solve the problem. Let the work guide the choice.

For a task involving pictures, screens, or documents, gather a few approved examples. Include an unclear one as well as an easy one. Ask the AI to say when information is missing, and decide how a person should take over.

Try a fair comparison

If you are building by describing your idea to AI, ask where the app sends information to the AI service, what it sends, and how you can switch that connection off. Keep secret connection keys out of browser code and shared files. Ask for a clear explanation before connecting a live account.

Compare the new option with your current approach using the same examples. Write down what a good result means before trying either one. Save what you observe, including mistakes, so the decision rests on more than one impressive answer.

1. Pick one task with a result you can review.
2. Use approved examples and the same checks for each approach.
3. Record cost, waiting time, corrections, and whether the result helped.
4. Expand when the trial gives you a reason to continue.

Keep what you learn

We expect teams to revisit which AI system suits each task as products and prices change. That is our perspective. You can prepare by saving examples of good work, recording your checks, and knowing who owns each decision.

These habits give your next trial a head start. They also help when you speak with a builder or adviser: you can show the repeated problem, explain the result you want, and decide together whether the new option belongs in your tool.