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Monday

  1. Full article from Artificial Analysis

    OpenAI Releases GPT-6.1 Terra, Further Improving Cost Efficiency

    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 simultaneously improved by 2 points; Terminal-Bench 4.0 improved by about 20 points, and Coding Agent Index v2.0 scored 48.

    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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Tuesday

  1. WallstreetcnSelected

    OpenAI Releases GPT-6.1 Terra, Standard API Price Cut 50% Compared with GPT-5.6 Terra

    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 its price per token is one quarter of the latter's. Starting October 26, the model is available to Plus, Pro, Enterprise, and Edu users of ChatGPT Work and Codex, and the API model name is gpt-6.1-terra.

    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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  2. Testing CatalogSelected

    OpenAI releases GPT-6.1 Terra, claiming per-task cost is about one-ninth that of Claude Opus 5.5

    OpenAI has officially released GPT-6.1 Terra. According to its claims, at maximum effort Terra's token efficiency is more than three times that of Claude Opus 5.5, its price per token is one quarter of the latter's, and its per-task cost is about 9 times lower; in terms of speed, it completes tasks more than three times faster than GPT-6 Astra and GPT-6.1 Sol. The publisher calls this release the Berlin DevDay release.

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  3. Artificial AnalysisSelected

    OpenAI Releases GPT-6.1 Terra with Halved Pricing and Hallucination Rate Dropped to 38%

    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 answer is 38%, down from 88%, while accuracy improved by 2 points; it scored 48 on the Coding Agent Index v2.0, and improved by about 20 points on Terminal-Bench 4.0.

    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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  4. ChatGPTSelected

    OpenAI Releases GPT-6.1 Terra Model

    OpenAI has released a new model, GPT-6.1 Terra, which focuses on speed and efficiency, strengthens visual reasoning and precise computer operation, and writes more clearly and naturally. Starting today, the model is being rolled out to Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex; the company says it can cover work scenarios ranging from interpreting technical drawings and drafting proposals to filling out forms and editing videos.

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  5. Testing CatalogSelected

    OpenAI's New Model GPT-6.1 Terra Appears in API and Codex Changelog

    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 ChatGPT desktop app or in ChatGPT Work on the web, and it is also supported on mobile in Work.

    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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Wednesday

Tuesday

  1. ThurrottSelected

    OpenAI Releases GPT-6 Astra, a Coding Model for Legacy Languages Such as COBOL

    OpenAI has released GPT-6 Astra, a coding model for legacy programming languages such as COBOL, Fortran, and Visual Basic. OpenAI built two evaluations for this purpose, MultiLangBench and COBOL migration. GPT-6 Astra scored 87.4% on the 20 languages in MultiLangBench, compared with 26.8% for GPT-5.6 Sol; it scored 86.8% on COBOL migration, or 97.9% at high reasoning effort, while GPT-5.6 Sol scored only 5.4%. The model is now available to developers through the OpenAI API for coding tasks in COBOL, Fortran, OCam, and Visual Basic.

    OpenAI has released GPT-6 Astra, a coding model for legacy programming languages such as COBOL, Fortran, and Visual Basic. OpenAI built two evaluations for this purpose, MultiLangBench and COBOL migration. GPT-6 Astra scored 87.4% on the 20 languages in MultiLangBench, compared with 26.8% for GPT-5.6 Sol; it scored 86.8% on COBOL migration, or 97.9% at high reasoning effort, while GPT-5.6 Sol scored only 5.4%. The model is now available to developers through the OpenAI API for coding tasks in CO

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Thursday

Tuesday