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OpenAI releases the GPT-Rosalind-6 system card addendum. This model uses the same set of weights as GPT-6 Astra, with no new training data or post-training added, and is provided only through trusted access to vetted research institutions, enterprises, and government partners. At the highest reasoning budget, MedChemBench v7 averages 49.6% (GPT-Rosalind-5.5: 28.9%), GeneBench Pro v13 single-attempt success rate is 37.7% (previous generation: 16.7%), and LifeSciBench Gold average score is 61.3% (

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On October 26, 2026, OpenAI released and made available GPT-6.1 Terra, strengthening visual understanding, computer operation, and writing capabilities. The standard API price is half that of GPT-5.6 Terra, namely $1 per million tokens for input, $0.05 for cached input, and $5 for output. The model has a context window of 1.05 million tokens, a maximum input of 922,000 tokens, and a maximum output of 128,000 tokens. Reasoning effort can be selected from none to max, with medium as the default. O

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On October 26 local time, on the same day Anthropic submitted its IPO registration filing to the SEC, OpenAI released its new model GPT-6.1 Terra, with standard API prices cut by 50% compared with the previous generation. The model focuses on visual understanding and computer operation, with standard API pricing at $1 per million input tokens, $5 for output, and $0.05 for cached input; on the Terminal-Bench 4.0 coding benchmark, it scored 50.3% at the highest reasoning effort, compared with 21.5

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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, down 50% and about 58% respectively from the previous generation, and half the price of GPT-6.1 Sol. OpenAI says its task completion rate on Terminal-Bench 4.0 rose from 21.5% to 50.3%, and its error rate at the highest reasoning level on difficult factual tests dropped to 4.3%. Third-party organization Artificial Analysis measured an intelligence index of 48 points, lower than So

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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, representing a 50% and approximately 58% decrease in input and output prices respectively compared to the previous generation, and only half that of GPT-6.1 Sol. The company claims its task completion rate on Terminal-Bench 4.0 increased from 21.5% to 50.3%, and it scored 60.0% on Agents' Last Exam, close to Claude Opus 5.5's 63.2%. Artificial Analysis measured an intelligence ind

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OpenAI has released GPT-6.1 Terra, which combines visual reasoning, computer use, and coding capabilities. Its API pricing is $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens, 50% lower than GPT-5.6 Terra and GPT-6.1 Sol. Starting October 27, the model is available to Plus, Pro, Enterprise, and Edu users of ChatGPT Work and Codex, and developers can call it via the API as gpt-6.1-terra. On Terminal-Bench 4.0, it solves 50.3% of tasks at maximum

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OpenAI has released GPT-6.1 Terra, an upgraded version of GPT-5.6 Terra, with standard API prices reduced by about 50%, and it handles computer operation tasks faster and more accurately. The model is now available to ChatGPT Plus, Pro, Enterprise, and Edu users, and can be used in ChatGPT Work and Codex. On Terminal-Bench 4.0, at the highest reasoning effort, the task resolution rate is 50.3%, higher than the previous generation's 21.5%; however, OpenAI says that in nearly 30% of simulated runs

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On October 27, OpenAI launched a new model, GPT-6.1 Terra, focused on completing complex computer operation tasks at lower cost, with particular strength in visual reasoning and desktop software operation. 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 of the latter; at the highest reasoning effort, the cost per task is about one-ninth that of Claude Opus 5.5. The model is now available to Plus, Pro, Enter

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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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