OpenAI releases GPT-6.1 Terra with lower API prices and stronger benchmark results
GPT-6.1 Terra halves OpenAI's API prices and still gains ground on its larger models
- Who
- OpenAI
- What
- announced GPT-6.1 Terra, a computer-use model offered at a lower price
- Quote
OpenAI has released GPT-6.1 Terra, a model it says pushes the cost-to-performance boundary further than any of its predecessors.
What happened
OpenAI has released GPT-6.1 Terra, with API pricing of $1 per million input tokens, $5 per million output tokens, and $0.05 per million cached input tokens. Artificial Analysis reports a six-point Intelligence Index gain over GPT-5.6 Terra at maximum reasoning effort, with task costs falling from $1.40 to $0.40. The model is available to Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex, and through the API; OpenAI still recommends GPT-6.1 Sol and GPT-6 Astra for the most demanding coding tasks.
The same story is shown in the picks as 《Introducing GPT-6.1 Terra》
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See the full storyOpenAI Releases GPT-6.1 Terra With Computer Use and Lower API PricesReported by 6 sources
The story so far
OpenAI has released GPT-6.1 Terra, which it says can interpret screens and take action across apps, with access now available through the API and to Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex, according to The Decoder. API pricing is $1 per million input tokens and $5 per million output tokens, down from GPT-5.6 Terra’s $2 and $12, according to Artificial Analysis; The Decoder reports cached input pricing of $0.05 per million tokens. In Artificial Analysis evaluations at maximum reasoning effort, Terra gained six points on the Intelligence Index over its predecessor while cost per task fell from $1.40 to $0.40. On AA-Omniscience, its hallucination rate fell from 88% to 38%, alongside a two-point accuracy increase. Terra scored 48 on the Coding Agent Index v2.0, below GPT-6.1 Sol’s 54 and above GPT-6 Luna’s 31. OpenAI says Terra completes tasks more than three times faster on average than Astra and Sol, while continuing to recommend those models for deep research and complex coding, according to Baoyu. Greg Brockman said Terra’s computer use feels faster than his own unaided computer use.
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