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OpenAI releases GPT-6.1 Terra with lower pricing and computer use capabilities

Who
OpenAI
What
announced GPT-6.1 Terra, a computer-use model offered at a lower price

What happened

OpenAI released GPT-6.1 Terra, emphasizing computer use, with rollout to ChatGPT Plus, Pro, Enterprise, and Edu subscribers and selection available in ChatGPT Work and Codex. The API costs $1 per million input tokens and $5 per million output tokens. According to OpenAI’s chart, Terra scores about 60% on Agents' Last Exam versus GPT-6 Astra’s roughly 59%; OpenAI also reports average task completion more than 3 times faster than Astra and Sol, while recommending those models for deep research and complex coding.

Why it matters

The comparison connects computer use benchmark results with API pricing and task speed, providing context for choosing Terra over higher priced models for routine software tasks.

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See the full storyOpenAI Announces GPT-6.1 Terra With Lower Pricing and Computer-Use Capabilities

Reported by 3 sources

    The story so far

    OpenAI announced GPT-6.1 Terra, a model designed to interpret screens and act across apps, with rollout to paid ChatGPT subscribers reported underway and API and Codex access announced. OpenAI says Terra can interpret images, navigate software and write naturally. Baoyu reported that rollout covers ChatGPT Plus, Pro, Enterprise and Edu subscribers, with selection available in ChatGPT Work and Codex. API pricing is $1 per million input tokens and $5 per million output tokens, compared with GPT-5.6 Terra’s $2 and $12, according to Artificial Analysis. In its evaluations at maximum effort, Artificial Analysis reported a 6-point Intelligence Index improvement and a cost per task of $0.40, down from $1.40. On AA-Omniscience, it reported a hallucination-rate decline from 88% to 38%, alongside a 2-point accuracy increase. Terra scored 48 on its Coding Agent Index v2.0, below GPT-6.1 Sol’s 54 and above GPT-6 Luna’s 31. Baoyu reported that OpenAI claims average task completion more than three times faster than Astra and Sol, while still recommending those models for deep research and complex coding.

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