In brief
- As of 26 October 2026, GPT-6.1 Terra is available in ChatGPT Work and Codex to Plus, Pro, Enterprise and Edu users.
- Developers can access the model through the OpenAI API under the name 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.
- OpenAI says the model has improved at lower cost on tests measuring tasks such as creating 3D models from architectural drawings.
OpenAI announced GPT-6.1 Terra on 26 October 2026. Combining visual reasoning with the ability to use computer applications, the model is aimed at tasks such as interpreting architectural drawings and completing multi-step work in desktop software. GPT-6.1 Terra is available the same day in ChatGPT Work and Codex to Plus, Pro, Enterprise and Edu users, while developers can access it through the OpenAI API.
From architectural drawings to computer tasks
OpenAI says its Agents’ Last Exam test, which measures professional workflows, includes an example of creating a 3D model from architectural drawings. According to results shared by the company, at the medium reasoning setting GPT-6.1 Terra scored 15 percentage points higher than GPT-5.6 Terra on this test, while the task cost was about one-third as much. OpenAI also says that, at the same setting, the model delivers performance comparable to GPT-6 Astra at one-tenth the price per token.
OSWorld 2.1 evaluates how agents handle multi-step tasks in desktop applications. Its examples include preparing a 3D model from a technical drawing. According to OpenAI, at medium reasoning GPT-6.1 Terra surpassed GPT-5.6 Terra’s best score at a lower cost per task. These results reflect performance on tests disclosed by the company; they do not, on their own, guarantee success with different types of drawings and software in real-world use.
Speed, accuracy and API pricing
OpenAI says GPT-6.1 Terra completes tasks more than three times faster than GPT-6.1 Sol and GPT-6 Astra. In the company’s comparison, the model’s standard API prices are 50% lower than those of GPT-5.6 Terra and GPT-6.1 Sol. Pricing is listed at $1 per million input tokens, $0.05 per million cached input tokens and $5 per million output tokens.
The company says its internally developed error-prone prompt test showed the error rate at the low reasoning setting fall from 53.6% for GPT-5.6 Terra to 16.7%. At the highest setting, the rate is reported as 4.3%. For coding, OpenAI says the model solved 50.3% of tasks on Terminal-Bench 4.0 at the highest reasoning setting. That is more than twice the GPT-5.6 Terra score published by OpenAI. These results are based on the company’s tests and should be validated separately in real projects.
Impact on architecture and visualization workflows
For architecture firms and visualization teams, the standout feature is the ability to handle technical drawings and computer-based actions within the same task flow. Teams evaluating repetitive desktop work or processes that turn drawings into models can test the model with their own files and applications. However, the announcement provides no details on compatibility with specific architectural software, hardware requirements or the quality of models generated from drawings.
How users access the model also depends on their workflow: GPT-6.1 Terra is available through ChatGPT Work and Codex on the specified subscription plans, while developers can opt for the API. Although per-token API pricing has been announced, total spending depends on usage. Firms should also review licensing terms, their own workloads and data-processing requirements.
Access and evaluation
OpenAI says GPT-6.1 Terra retains the safety protections developed for GPT-6 Astra and met the Critical threshold under the Preparedness Framework in its cybersecurity assessment. The model’s test results for computer use and visual interpretation are notable for the potential to automate architectural work. Still, it is important to measure speed, error rates and cost using real project files before moving to production.
Sources
1 sourceSource texts are not republished; short quotes are marked, everything else is our own summary and commentary.
GPT-6.1 Terra’s inclusion of 3D model creation from architectural drawings in a computer-use test speaks directly to efforts to automate the transition from drawings to digital production. For firms in Turkey, the key measure will be not so much the reported benchmark scores as how much editing their own drawings require and how much time the task saves.
The lower API prices announced compared with the two previous models could make it easier to assess the cost of experimentation; however, total spending depends on token usage. The announcement gives no details about hardware or compatibility with specific software. Until subscription/API terms, data requirements and project-specific validation are clear, a cautious approach would be to start with limited pilots rather than delegate the entire production workflow to the model.
Frequently asked questions
Which platforms offer GPT-6.1 Terra?
Plus, Pro, Enterprise and Edu users can use the model in ChatGPT Work and Codex. Developers can access it through the OpenAI API under the name gpt-6.1-terra.
How much does the GPT-6.1 Terra API cost?
Standard pricing is $1 per million input tokens, $0.05 per million cached input tokens and $5 per million output tokens.
Can GPT-6.1 Terra create 3D models from architectural drawings?
OpenAI lists creating 3D models from architectural drawings among the professional task examples used to evaluate the model. The announcement provides no details about compatibility with specific architectural software or results in real projects.



