Closed OpenAI model with 50% lower standard API prices than GPT 5.6 Terra and better capability. It matches GPT 6 Astra at about 1/10 the per-token price and finishes tasks over 3x faster, per the cited charts.
OpenAI's mid-tier GPT-6.1 model for computer use, visual reasoning and coding, priced at $1/$5 per million tokens.
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GPT-6.1 Terra at a glance
- What is GPT-6.1 Terra?
- GPT-6.1 Terra is a model from OpenAI. OpenAI's mid-tier GPT-6.1 model for computer use, visual reasoning and coding, priced at $1/$5 per million tokens.
- Who makes GPT-6.1 Terra?
- GPT-6.1 Terra is made by OpenAI.
- Does GPT-6.1 Terra work in the EU?
- Available in the EU. OpenAI's API and ChatGPT are offered in the EU, and its security page cites GDPR compliance, a Data Processing Addendum and data residency for ChatGPT and API business products. The announcement lists no regional restrictions for Terra. Last verified 14 Nov 2026.
- How much does GPT-6.1 Terra cost?
- Paid. Included for Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex. API: $1/M input tokens, $0.05/M cached input, $5/M output tokens. Licence: Proprietary.
- Where was GPT-6.1 Terra shown?
- In 4 creator videos by Matthew Berman, AI Search, Matt Wolfe. Most recently by Matthew Berman on 5 Nov 2026, at 18:14 in “Kimi K3.1 weights OUT, open source computer use, SOTA image model, science model, Pika H3: AI NEWS”.
Sources: creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
GPT-6.1 Terra is a closed OpenAI model positioned in the GPT-6.1 family below GPT-6.1 Sol and GPT-6 Astra. OpenAI describes it as a fast, efficient model combining visual reasoning and computer use with clearer writing, and as a significant step up from GPT-5.6 Terra.\n\nPer OpenAI's announcement, it scores higher than GPT-5.6 Terra on computer-use benchmarks (Agents' Last Exam, OSWorld 2.1), visual reasoning (MMMU-Pro) and coding (Terminal-Bench 4.0, 50.3% at max effort vs 21.5%). OpenAI also reports a lower error rate on its internal error-inducing-prompt benchmark (16.7% at low effort, 4.3% at max effort). For the most complex coding tasks, OpenAI says Sol and Astra remain the better choice. These figures are vendor-reported. A reviewer on YouTube found it only slightly cheaper and less capable than Sol on his own benchmark, and was unsure who it targets.\n\nIt is available in ChatGPT Work and Codex for Plus, Pro, Enterprise and Edu users, and through the OpenAI API as gpt-6.1-terra. Standard API pricing is $1 per million input tokens, $0.05 per million cached input tokens and $5 per million output tokens. OpenAI states it meets the Critical threshold for cybersecurity under its Preparedness Framework and keeps the safeguards developed for GPT-6 Astra.
- Computer use and desktop-app task automation (OSWorld 2.1, Agents' Last Exam)
- Visual reasoning over images, technical drawings and video
- Reduced factual error rate versus GPT-5.6 Terra on OpenAI's internal benchmark
- Terminal-Bench 4.0 score of 50.3% at max reasoning effort
- API price of $1 input / $5 output per million tokens
- Available in ChatGPT Work, Codex and the API
As seen on YouTube
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
Mid-tier GPT-6.1 model between Luna and Sol, strong at computer use, cheap with low factual error rate. Below Sol and Sonnet 5.5 on some benchmarks but much cheaper; available in paid plans and API.
New mid-tier OpenAI model below Sol and Astra. Creator compares benchmarks and costs and finds it only slightly cheaper but dumber than GPT-6.1 Sol, and doesn't understand who it's for. On his bench it took 7 minutes, cost 19 cents and placed fifth.
Teaches simulated human bodies to move across difficult terrain using muscle and skeleton simulation. Trained on 9 hours of motion data and extendable with fine-tuned policies; Apache 2 code released.
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