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    Jasper Dekoninck Shares GPT-6-Astra MathArena Lead

    PhD student at ETH Zurich highlights model's top ranking and efficiency on benchmarks.

    JD
    1 Source, 25d ago, first seen 25d ago

    TLDR

    A tweet from Jasper Dekoninck, a PhD student at ETH Zurich focused on LLM math evaluations, states that GPT-6-Astra holds first place on the MathArena leaderboard with 90% expected performance. The post adds that the model is token efficient, averaging 12k tokens per question on BrokenArXiv and ArXivMath. It includes a screenshot of the MathArena leaderboard UI showing the ArXivLean tab for 06/2026 along with tabs for BrokenArXiv, ArXivMath, and others.

    Combined views

    49.7K

    1 Source, first seen 25d ago

    Combined views

    49.7K

    1 Source, first seen 25d ago

    524 likes
    524 likes
    9 comments
    76 saves
    39 reposts

    Sentiment

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    9 comments
    76 saves
    39 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    Today's Rank

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    1 Source

    @j_dekoninckGPT-6-Astra takes first place on MathArena, with a massive 90% expected performance! It is also very token efficient: on average, it uses only 12k tokens per question for BrokenArXiv and ArXivMath

    1 Source

    @j_dekoninckGPT-6-Astra takes first place on MathArena, with a massive 90% expected performance! It is also very token efficient: on average, it uses only 12k tokens per question for BrokenArXiv and ArXivMath