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    Together AI Tweet Claims GLM-5.3 Beats GPT-5.6 Sol

    Together AI tweet reports GLM-5.3 results on agentic benchmarks from Z.ai.

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    TA
    3 Sources, 31d ago, first seen 31d ago

    TLDR

    Together AI posted that GLM-5.3 now beats GPT-5.6 Sol and Claude Fable 5 on agentic benchmarks. The account added that GLM-5.3 Flash ranks just behind it. The post stated the model kept the GLM-5.2 base and improved via scaled post-training using more long-horizon environments, diverse tasks, and additional RL compute. It tagged @zai_org as the source of the work. The packet contains only this single tweet and no further confirmation or details.

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    120K

    3 Sources, first seen 31d ago

    Combined views

    120K

    3 Sources, first seen 31d ago

    1.1K likes
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    70 comments
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    96 reposts

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    70 comments
    217 saves
    96 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    3 Sources

    @togethercomputeglm-5.3 now beats gpt-5.6 sol and claude fable 5 on agentic benchmarks 5.3 flash is right behind it glm-5.3 didn’t even need a new base model to get there @zai_org kept the glm-5.2 base and scaled post-training with more long-horizon environments, more diverse tasks, and more rl compute
    @arenaExciting news: GLM-5.3-Flash by @Zai_org has landed in Agent Arena! At a $0.12 median cost per task and a +4.6% net improvement, it has reshaped the Pareto frontier! GLM-5.3-Flash is placed between DeepSeek V4 (High) and GPT-5.6 Luna (xHigh). Based on 9K+ real-world agentic sessions, GLM-5.3-Flash ranks #4 among open source models and #19 overall, one spot ahead of GLM-5.3 (Max) at #20 overall with +3.7% net improvement. By signal, GLM-5.3-Flash stands out in Confirmed Success at +15.3%, ranking #4 there. See more info by all 5 signals below. Congrats to the @Zai_org team on this release!

    3 Sources

    @togethercomputeglm-5.3 now beats gpt-5.6 sol and claude fable 5 on agentic benchmarks 5.3 flash is right behind it glm-5.3 didn’t even need a new base model to get there @zai_org kept the glm-5.2 base and scaled post-training with more long-horizon environments, more diverse tasks, and more rl compute
    @arenaExciting news: GLM-5.3-Flash by @Zai_org has landed in Agent Arena! At a $0.12 median cost per task and a +4.6% net improvement, it has reshaped the Pareto frontier! GLM-5.3-Flash is placed between DeepSeek V4 (High) and GPT-5.6 Luna (xHigh). Based on 9K+ real-world agentic sessions, GLM-5.3-Flash ranks #4 among open source models and #19 overall, one spot ahead of GLM-5.3 (Max) at #20 overall with +3.7% net improvement. By signal, GLM-5.3-Flash stands out in Confirmed Success at +15.3%, ranking #4 there. See more info by all 5 signals below. Congrats to the @Zai_org team on this release!