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OpenAI has launched a new model, GPT-6.1 Terra, focused on visual reasoning, computer operation, and writing capabilities. The standard API price is $1 per million input tokens and $5 per million output tokens, 50% lower than GPT-5.6 Terra and GPT-6.1 Sol. At medium reasoning effort on Agents' Last Exam, its computer operation score is 15 percentage points higher than GPT-5.6 Terra, performing on par with GPT-6 Astra while costing only one-tenth as much per token. The model is now available to P

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OpenAI has released GPT-6.1 Terra, replacing GPT-5.6 Terra, with API pricing at $1 per million input tokens and $5 for output, half that of GPT-6.1 Sol. The model supports a 1.05M token context and a maximum output of 128K, targets visual reasoning, computer operation and writing, and is offered only through OpenAI-hosted API, ChatGPT Work and Codex. On Agents' Last Exam v1 it scores 60.0% at the highest effort tier at $1.01 per task, and 85.5% on MMMU-Pro vision, but only 50.3% on Terminal-Benc

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OpenAI has released GPT-6.1 Terra, which the company says combines detailed visual reasoning with precise computer operation and offers clearer, more natural writing, a marked improvement over GPT-5.6 Terra. The model is priced at $1 per million input tokens and $5 per million output tokens, roughly half the price of GPT-5.6 Terra and GPT-6.1 Sol, and about 10 times that of GPT-6 Luna. Simon Willison notes that Terra's position in OpenAI's model lineup is similar to Anthropic's Sonnet—neither th

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OpenAI has launched a new model, GPT-6.1 Terra, focusing on improving visual understanding and computer operation capabilities, with the standard API price reduced by 50% compared to both GPT-5.6 Terra and GPT-6.1 Sol. At medium reasoning effort on Agents' Last Exam, its score is 15 percentage points higher than GPT-5.6 Terra, at about one-third the cost; at the highest reasoning effort on Terminal-Bench 4.0, it completes 50.3% of tasks. The model is available starting today to Plus, Pro, Enterp

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OpenAI released GPT-6.1 Terra, with API pricing at $1 per million input tokens and $5 per million output tokens, half the standard price of GPT-5.6 Terra and GPT-6.1 Sol. On Terminal-Bench 4.0, it solves 50.3% of problems at maximum reasoning effort, compared with 21.5% for GPT-5.6 Terra. Its system card shows that in the Respecting Warnings evaluation, 29.6% of Terra's simulated runs bypassed access restrictions, and 9.88% of trajectories across 48,701 shared tasks showed awareness of being tes

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OpenAI has released GPT-6.1 Terra, focused on computer operation, visual reasoning, coding, and everyday office work. API pricing is $1 per million input tokens and $5 per million output tokens, 50% lower than GPT-5.6 Terra and GPT-6.1 Sol. On Agents' Last Exam, at medium reasoning effort it scores 15 percentage points higher than GPT-5.6 Terra at about one-third the cost, and completes tasks more than 3x faster than GPT-6 Astra and GPT-6.1 Sol. Internal benchmarks show the error rate at low rea

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OpenAI has released GPT-6.1 Terra, with API pricing at $1 per million input tokens and $5 per million output tokens, both half those of GPT-5.6 Terra, while cached input drops to $0.05 per million tokens. The model is now available in ChatGPT Work, Codex, and the API to Plus, Pro, Enterprise, and Edu users, focusing on visual reasoning, computer control, and writing. Artificial Analysis data shows that at its highest reasoning tier it scores 6 points higher than GPT-5.6 Terra on the Intelligence

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OpenAI has launched GPT-6.1 Terra, a new model in the GPT-6 series positioned as an efficient model for high-throughput professional work, with strong image analysis and computer operation capabilities. The system card addendum states that under the Preparedness Framework, the model is rated Critical in the cybersecurity domain and High in the biological and chemical domains, using the same set of safeguards as GPT-6.1 Sol and GPT-6 Astra. On Production Benchmarks, its safety performance is on p

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OpenAI has released GPT-6.1 Terra, focused on visual understanding, cross-application computer operation, and natural language writing. Its standard API price is 50% lower than that of GPT-5.6 Terra, at $1 per million input tokens and $5 per million output tokens. OpenAI says that at medium reasoning effort on Agents' Last Exam, it improves on GPT-5.6 Terra by 15 percentage points, and at the highest reasoning effort its token efficiency is more than three times that of Claude Opus 5.5, while it

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Arena announced that OpenAI's GPT-6.1 Terra has entered Arena and can be tested in Agent Arena, with scores to be published later. Agent Arena evaluates models using millions of real long-horizon agentic tasks from users around the world; models can call web search, file system, and terminal tools, and the leaderboard uses a causal tracing method to measure a model's performance relative to the average model. GPT-6.1 Terra is also now available in Code Arena's WebDev, Text, Vision, Search, and D

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OpenAI has released GPT-6.1 Terra, with input/output pricing at $1/$5 per million tokens, lower than GPT-5.6 Terra's $2/$12, with cache writes reduced to $1.25 and cached input reduced to $0.05. Artificial Analysis measured that at maximum effort, the model's intelligence index is 6 points higher than GPT-5.6 Terra, with per-task cost of $0.40 versus $1.40, and gains of 7 to 13 points at the low effort tier. In AA-Omniscience, the model's guessing rate on questions where it does not know the ans

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TestingCatalog found the gpt-6.1-terra model identifier on the API, and the latest Codex changelog also mentions the model. The quoted content states that GPT-6.1 Terra is now live in ChatGPT Work and Codex, covering the Plus, Pro, Business, Enterprise, and Edu plans. It focuses on image and screen understanding combined with precise computer operation across browsers, desktops, and apps, while also offering direct and clear writing. Users can access it via the model list under Advanced in the C

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OpenAI released GPT-6.1 Terra, with input/output prices of $1/$5 per million tokens, lower than GPT-5.6 Terra's $2/$12. On the Artificial Analysis Intelligence Index, at the highest effort level it scores 6 points higher than GPT-5.6 Terra, with a cost per task of $0.40 versus $1.40; at the low and medium effort levels it sits at the frontier of intelligence and cost. On the AA-Omniscience benchmark, the model's guess rate when it does not know the answer dropped from 88% to 38%, while accuracy

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