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OpenAI's GPT-6 Astra shows strong coding performance in COBOL and Fortran evaluations

By PulseAugur Editorial · [1 sources] ·

OpenAI has released new evaluations for its GPT-6 Astra model, showcasing its performance on coding tasks in COBOL and Fortran. GPT-6 Astra achieved an 87.4% success rate on the MultiLangBench test, a benchmark involving a 20-language SQLite rebuild. In COBOL specifically, GPT-6 Astra's performance improved significantly, rising from 10.9% to 72.1% compared to GPT-5.6 Sol, though production use still requires expert oversight. AI

IMPACT Demonstrates advancements in AI's ability to handle legacy programming languages, potentially aiding in modernization efforts.

RANK_REASON The item details benchmark results and evaluations of an AI model's coding capabilities, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

OpenAI's GPT-6 Astra shows strong coding performance in COBOL and Fortran evaluations

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The item details benchmark results and evaluations of an AI model's coding capabilities, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    OpenAI has published COBOL and Fortran coding evaluations. GPT-6 Astra averaged 87.4% on MultiLangBench, a 20-language SQLite rebuild test. COBOL rose from 10.9

    OpenAI has published COBOL and Fortran coding evaluations. GPT-6 Astra averaged 87.4% on MultiLangBench, a 20-language SQLite rebuild test. COBOL rose from 10.9% to 72.1% against GPT-5.6 Sol, and production use still needs expert review. https://www. developer-tech.com/news/opena…

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