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    Sunny Madra Notes Qwen and GLM Flash Scores

    Tweet from NVIDIA VP compares recent model scores on Artificial Analysis benchmark.

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    1 Source, 32d ago, first seen 32d ago

    TLDR

    Sunny Madra, VP of Hardware at NVIDIA and former Groq executive, posted that GPT-5.4 xhigh scored 53 on Artificial Analysis in March. He stated Qwen3.8-Flash-Next later reached 56 and GLM-5.3-Flash reached 57. The newer models use 6B and 18B active parameters per token. Madra wrote that yesterday’s frontier is today’s Flash tier. The post highlights rapid progress in lightweight Chinese models on the public benchmark.

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    1 Source, first seen 32d ago

    Combined views

    4.5K

    1 Source, first seen 32d ago

    72 likes
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    4 comments
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    6 reposts

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    Positive——Negative

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    No sentiment analysis available yet.

    1 Source

    @sundeepGPT-5.4 xhigh scored 53 on Artificial Analysis in March. By August, Qwen3.8-Flash-Next scores 56 and GLM-5.3-Flash 57 with only 6B / 18B active params per token. Yesterday’s frontier is today’s Flash tier.

    1 Source

    @sundeepGPT-5.4 xhigh scored 53 on Artificial Analysis in March. By August, Qwen3.8-Flash-Next scores 56 and GLM-5.3-Flash 57 with only 6B / 18B active params per token. Yesterday’s frontier is today’s Flash tier.