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Ongoing case: OpenAI's models 23 stories

OpenAI says GPT-6.1 Terra meets Critical cybersecurity threshold, at half GPT-5.6 Terra's price

OpenAI says GPT-6.1 Terra, a model it describes as built for computer use and visual reasoning, costs $1 per million input tokens and $5 per million output tokens from 26 October 2026.

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Check our sources · 12 facts from 1 source
Sam Altman in a dark jacket, speaking on a stage at The Grove event.Village Global / The Grove 2022 / CC BY 2.0, cropped
Sam Altman, OpenAI's chief executive, at The Grove, a Village Global event, in November 2022. source · CC BY 2.0

Key points

  1. OpenAI published GPT-6.1 Terra on 26 October 2026 for Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex, and in the API as gpt-6.1-terra.
  2. API pricing is $1 per million input tokens, $0.05 per million cached input tokens and $5 per million output tokens, which OpenAI says is 50% below GPT-5.6 Terra.
  3. OpenAI says GPT-6.1 Terra meets the Critical threshold in cybersecurity under its Preparedness Framework and keeps the protections developed for GPT-6 Astra.

What happened

OpenAI introduced GPT-6.1 Terra on 26 October 2026, describing it as a fast model for computer use and visual reasoning. It is available to Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex, and through the 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. The benchmark figures in OpenAI's post are OpenAI's own results. The post says GPT-6.1 Terra meets the Critical threshold in cybersecurity under OpenAI's Preparedness Framework.

What it means for you

Our view

If you run GPT-5.6 Terra or GPT-6.1 Sol in production, rerun your own tasks on gpt-6.1-terra before switching. OpenAI's benchmark gains, such as 50.3% on Terminal-Bench 4.0 against 21.5% for GPT-5.6 Terra, are its own results.

OpenAI also says GPT-6.1 Sol and GPT-6 Astra remain the better choice for the most complex coding tasks. The Critical cybersecurity designation is OpenAI's statement about its own model, and the explainer below sets out what that level means.

Before you give Terra computer use, ask your security team whether your agent permissions and outbound controls need review.

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1 Introducing GPT-6.1 TerraOpenAI · 26 Oct 2026 · 12 facts Open the source archived copy
  1. OpenAI published "Introducing GPT-6.1 Terra" on 26 October 2026.

    October 26, 2026
    cite
  2. OpenAI describes GPT-6.1 Terra as "a fast, efficient model that combines detailed visual reasoning and precise computer use alongside clearer, more natural writing."

    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.
    cite
  3. OpenAI says GPT-6.1 Terra is available to all Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex.

    Starting today, GPT-6.1 Terra is available to all Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex.
    cite
  4. OpenAI says developers can access GPT-6.1 Terra through the OpenAI API as gpt-6.1-terra.

    Developers can also access it through the OpenAI API as gpt-6.1-terra.
    cite
  5. OpenAI states standard API pricing for GPT-6.1 Terra of $1 per million input tokens, $0.05 per million cached input tokens and $5 per million output tokens.

    Standard API pricing is $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens.
    cite
  6. OpenAI says GPT-6.1 Terra's standard API prices are 50% lower than those of GPT-5.6 Terra and GPT-6.1 Sol.

    Its standard API prices are 50% lower than those of GPT-5.6 Terra and GPT-6.1 Sol
    cite
  7. OpenAI says that at medium reasoning effort GPT-6.1 Terra scores 15 percentage points higher than GPT-5.6 Terra on Agents' Last Exam at about one-third the cost, and performs on par with GPT-6 Astra at one-tenth its price per token.

    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.
    cite
  8. OpenAI says that at max effort GPT-6.1 Terra is over three times as token efficient as Claude Opus 5.5 and one-fourth its price per token, resulting in a roughly 9x lower cost per task.

    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.
    cite
  9. OpenAI says GPT-6.1 Terra solves 50.3% of tasks on Terminal-Bench 4.0 at maximum reasoning effort, against GPT-5.6 Terra's published score of 21.5%, and that GPT-6.1 Sol and GPT-6 Astra remain the better choice for the most complex coding tasks.

    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.
    cite
  10. OpenAI says that on its 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, and at maximum effort fell by 18 percentage points to 4.3%.

    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
    cite
  11. OpenAI says 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 meets the Critical threshold in cybersecurity under our Preparedness Framework, and maintains the protections developed for GPT‑6 Astra.
    cite
  12. OpenAI says it measured GPT-6.1 Terra on Agents' Last Exam, MMMU-Pro, OSWorld 2.1, Terminal-Bench 4.0 and Terminal-Bench-Science 0.1, and that the post's error-rate figures come from its internal benchmark.

    We measured GPT-6.1 Terra’s computer-use capabilities on Agents’ Last Exam
    cite

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