OpenAI has launched GPT-6.1 Terra, a mid-range model built for visual reasoning and precise computer use, and cut its standard API prices in half. Input tokens now cost $1 per million and output tokens $5 per million, down from $2 and $10 for GPT-5.6 Terra, while cached inputs fall to $0.05 per million.
The model is aimed at everyday office and automation work: drafting proposals, reading technical drawings, and filling out forms. It is available to Plus, Pro, Enterprise, and Edu subscribers inside ChatGPT Work and Codex, as well as through the standard API.
The pricing puts Terra well below rival mid-tier models. Anthropic Claude Sonnet 5.5 charges $2 per million input tokens and $12 per million output tokens, so Terra costs less than half as much on both measures. For teams building agent-heavy products, that gap changes which model becomes the default choice.
Early third-party testing supports part of the pitch. Artificial Analysis reports that Terra gains 6 points on the Intelligence Index over GPT-5.6 Terra at maximum reasoning effort, while costing $0.40 per task versus $1.40. At lower effort levels, the gains rise to between 7 and 13 points.
The release underlines a shift in how model makers compete: not only on raw capability, but on cost per task. For a side-by-side look at leading chatbots, see our ChatGPT vs Gemini comparison. Developers using ChatGPT, Claude, and coding assistants such as Cursor will be watching whether rivals answer with price cuts of their own.
Source: AI Daily Post
