OpenAI launches GPT-6.1 Terra with cheaper API access for computer tasks
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Large Language Models

OpenAI launches GPT-6.1 Terra with cheaper API access for computer tasks

OpenAIOct 27, 2026

OpenAI released GPT-6.1 Terra for ChatGPT Work, Codex and API users, highlighting computer-use performance, coding improvements and lower standard API prices.

OpenAI introduced GPT-6.1 Terra on October 26, 2026, positioning the model for visual reasoning and tasks performed through computer interfaces. The company says it can handle work such as interpreting technical drawings, completing forms and editing video, alongside writing and software tasks.

OpenAI reports that on Agents’ Last Exam, a benchmark of professional tasks, Terra scored 15 percentage points above GPT-5.6 Terra at medium reasoning effort while costing about one-third as much. At that setting, OpenAI says its performance was on par with GPT-6 Astra at one-tenth the price per token. The company also reports that Terra finished tasks more than three times faster than GPT-6 Astra and GPT-6.1 Sol at maximum effort.

OpenAI’s internal tests found that the model’s error rate on prompts designed to induce mistakes fell from 53.6% for GPT-5.6 Terra to 16.7% at low reasoning effort. At maximum effort, the reported rate was 4.3%. On Terminal-Bench 4.0, which evaluates command-line software engineering tasks, Terra solved 50.3% of tasks at maximum effort, compared with GPT-5.6 Terra’s previously published 21.5% score. OpenAI says its higher-end GPT-6.1 Sol and GPT-6 Astra remain better suited to the most complex coding work.

GPT-6.1 Terra is available to Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex, and through the API under the model name gpt-6.1-terra. Standard API rates are $1 per million input tokens, $0.05 per million cached input tokens and $5 per million output tokens. OpenAI says those standard prices are 50% below GPT-5.6 Terra and GPT-6.1 Sol. The company also says Terra meets its Preparedness Framework’s Critical threshold for cybersecurity and retains safeguards developed for GPT-6 Astra.

Industry Impact

Lower-cost computer-use AI

Software development, enterprise operations, cybersecurity

Overview

GPT-6.1 Terra gives developers and businesses a lower-priced option for AI tasks involving computer interfaces, coding and visual reasoning. OpenAI reports stronger benchmark results than GPT-5.6 Terra, with standard API rates 50% lower than GPT-5.6 Terra and GPT-6.1 Sol. That may make it more practical to test automations such as form completion and video editing, while faster task completion could reduce processing time. OpenAI says its higher-end models remain better for the most complex coding work, and Terra retains cybersecurity safeguards.

Key Impact Points

Standard API input and output prices are 50% below GPT-5.6 Terra and GPT-6.1 Sol.

OpenAI reports improved professional-task and command-line coding benchmark performance over GPT-5.6 Terra.

Businesses can access the model through the API, ChatGPT Work and Codex, but should validate performance on their own workflows.

Opportunities

Test computer-use workflows at lower API rates

Enterprise operations, software development

Organizations can evaluate GPT-6.1 Terra for computer-interface workflows such as completing forms, interpreting technical drawings and editing video, as well as coding tasks. Its API pricing and reported task-speed gains create a basis for controlled pilots where usage costs or turnaround time matter. Developers can compare Terra with existing approaches on representative tasks, measuring accuracy, completion time and token spend before expanding deployment. OpenAI's benchmark results are company-reported, and the article does not establish performance guarantees for individual business processes. The model's stated cybersecurity threshold and safeguards are relevant considerations for teams reviewing risk before connecting it to computer systems.

  • Computer-interface workflow pilots

    Problem: Repetitive computer-interface tasks can require time-consuming manual work.

    Solution: Evaluate GPT-6.1 Terra on tasks such as form completion, technical-drawing interpretation or video editing through ChatGPT Work, Codex or the API.

    Target Users: Software developers and business teams assessing workflow automation.

    Business Value: Measure whether the model can complete selected tasks with acceptable accuracy, speed and API cost.

    Revenue Potential: Potential savings or service value depend on pilot results; the article provides no revenue forecast.

Reference link

https://openai.com/index/introducing-gpt-6-1-terra

Image Source Link

https://static.toiimg.com/thumb/msid-135229867,width-1280,height-720,imgsize-39462,resizemode-4,overlay-toi_sw,pt-32,y_pad-600/photo.jpg

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