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Microsoft says its model matched DeepSeek-V4-Pro-Base on held-out code with 12x less compute

1 article1 sourcesince Oct 15Last article 3h ago ·

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Mustafa Suleyman says Microsoft matched the pre-trained held-out code score of DeepSeek-V4-Pro-Base using 12x less training compute.

He attributes the result to compounding efficiency gains. The claim comes from a single post on X, and the source does not name the Microsoft model or publish the benchmark details.

Written by AI from the articles below · updated Oct 15, 12:38 PM ET

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The articles in this story. Times are ET.

Oct 15
  1. Mustafa SuleymanX
    Microsoft matches DeepSeek-V4-Pro-Base code score with 12x less compute

    AIMustafa Suleyman says Microsoft matched DeepSeek-V4-Pro-Base's pre-trained score on held-out code using 12x less training compute. He attributes the result to compounding efficiency gains.

    GIF from @mustafasuleyman's post

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