The new mid-tier model reads what is on screen, acts inside apps, and cuts standard API prices in half versus GPT-5.6 Terra.
OpenAI introduces GPT-6.1 Terra for faster computer use on the tasks that fill a workday. It combines detailed visual reasoning and precise computer use with clearer, more natural writing, a step up from GPT-5.6 Terra for proposals, technical drawings, forms, and video edits. Standard API prices are 50 percent lower than GPT-5.6 Terra and GPT-6.1 Sol, which makes high-volume work such as reading invoices into accounting software practical. In ChatGPT Work and Codex, the same usage allowance covers more tasks than GPT-5.6 Terra and substantially more than GPT-6.1 Sol or GPT-6 Astra.
On Agents’ Last Exam, professional tasks such as turning architectural drawings into a 3D model, medium reasoning effort scores 15 percentage points higher than GPT-5.6 Terra at about one-third the cost, on par with GPT-6 Astra at one-tenth the price per token. At maximum effort, Terra is more than three times as token-efficient as Claude Opus 5.5 at one-fourth the token price, about nine times lower cost per task, and more than three times faster than GPT-6 Astra and GPT-6.1 Sol. On MMMU-Pro it beats GPT-5.6 Terra at every setting and nearly matches Astra and Sol.
On an internal set of error-inducing prompts, the error rate at low reasoning effort fell from 53.6 percent with GPT-5.6 Terra to 16.7 percent. At maximum effort it fell 18 points to 4.3 percent. On Terminal-Bench 4.0, maximum effort solves 50.3 percent of command-line tasks, more than double the older Terra’s 21.5 percent. OpenAI still points the hardest coding to GPT-6.1 Sol and GPT-6 Astra.
GPT-6.1 Terra meets the Critical cybersecurity threshold in OpenAI’s Preparedness Framework and keeps the safeguards built for GPT-6 Astra. It is more likely than GPT-5.6 Terra to stay in scope and to state its limits, and prompt-injection tests showed strong resistance to diversion. It is available now to Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex, and in the API as gpt-6.1-terra, at $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens. The announcement is on OpenAI.
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