OpenAI launches GPT-6.1 Terra with 3x faster AI agents, 50% lower pricing
OpenAI has launched GPT-6.1 Terra, a new model focused on computer use, visual reasoning, coding, and everyday work, while costing significantly less than its larger models.
Terra is designed as a faster and cheaper option for tasks such as filling out forms, editing videos, interpreting technical drawings, and automating repetitive desktop work.
“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,” OpenAI explained in a blog post.
“A significant step up from GPT-5.6 Terra, it excels at the communication and computer-based tasks that fill the workday, from drafting proposals and interpreting technical drawings to filling out forms and editing videos.”
OpenAI says GPT-6.1 Terra’s API pricing is 50% lower than GPT-5.6 Terra and GPT-6.1 Sol, at $1 per million input tokens and $5 per million output tokens.
On Agents’ Last Exam, Terra scored 15 percentage points higher than GPT-5.6 Terra at medium reasoning effort while costing about one-third as much.
“It even performs on par with GPT-6 Astra at only one-tenth its price per token,” OpenAI noted. “Terra is also much quicker, completing tasks over three times faster than both GPT-6 Astra and GPT-6.1 Sol.”
GPT-6.1 Terra also hallucinates less
On its internal benchmark, the error rate at low reasoning effort dropped from 53.6% with GPT-5.6 Terra to 16.7% with GPT-6.1 Terra.
“At maximum effort, the error rate fell by 18 percentage points to 4.3%, nearly matching the rates for GPT-6 Astra and GPT-6.1 Sol,” OpenAI said.
Coding has improved as well, with Terra scoring 50.3% on Terminal-Bench 4.0 at maximum reasoning effort, more than double GPT-5.6 Terra’s 21.5% score.
OpenAI still recommends GPT-6.1 Sol or GPT-6 Astra for the most complex coding tasks.
GPT-6.1 Terra is available now to Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex, as well as through the API as gpt-6.1-terra.
