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    Together AI Adds GLM-5.3 With Usage Advice

    Zain recommends high reasoning effort mode for GLM-5.3 users on the platform.

    TA
    ZA
    2 Sources, 33d ago, first seen 33d ago

    TLDR

    Zain posted a PSA for GLM-5.3 users on X, advising reasoning_effort set to high rather than max. He noted max mode reached 34 percent for 77k tokens while high reached 32 percent for 50k tokens. The post states GLM-5.3 remains quite token efficient. Together AI retweeted the message from its official account. Generated headlines in the packet describe the addition of the model to the platform and note stronger coding performance compared with prior versions.

    Combined views

    10.1K

    2 Sources, first seen 33d ago

    Combined views

    10.1K

    2 Sources, first seen 33d ago

    88 likes
    88 likes
    4 comments
    25 saves
    8 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

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    4 comments
    25 saves
    8 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @zainhasPSA: For everyone using GLM-5.3 you probably want to use this model in reasoning_effort="high" mode. > "max" - 34% for 77k tokens (not bad!) > "high" - 32% for 50k tokens But "max" is not as unusable as it was for GLM-5.3 Flash. > GLM-5.3 is quite token efficient!
    @togethercomputeRT @zainhas: PSA: For everyone using GLM-5.3 you probably want to use this model in reasoning_effort="high" mode. > "max" - 34% for 77k to…

    2 Sources

    @zainhasPSA: For everyone using GLM-5.3 you probably want to use this model in reasoning_effort="high" mode. > "max" - 34% for 77k tokens (not bad!) > "high" - 32% for 50k tokens But "max" is not as unusable as it was for GLM-5.3 Flash. > GLM-5.3 is quite token efficient!
    @togethercomputeRT @zainhas: PSA: For everyone using GLM-5.3 you probably want to use this model in reasoning_effort="high" mode. > "max" - 34% for 77k to…