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    Together’s GLM 5.3 performance draws praise in a post citing OpenRouter

    The post claims Together serves GLM 5.3 and GLM 5.3 Flash in the top decile for tokens per second, latency and cache rate—not just one performance metric.

    VV
    1 Source, 19d ago, first seen 19d ago

    TLDR

    Citing OpenRouter statistics, a September 11 post touts Together’s performance serving GLM 5.3 and GLM 5.3 Flash. The author claims top-decile tokens per second, latency and cache rate, with volumes representing 23% and 30% of all OpenRouter traffic, respectively. The post also says OpenRouter accounts for a fraction of Together’s overall API traffic. Its broader argument: running AI models for agentic applications at scale requires optimizing across metrics while maintaining reliability, rather than maximizing a single measure.

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    1 Source, first seen 19d ago

    Combined views

    6.5K

    1 Source, first seen 19d ago

    56 likes
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    7 comments
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    11 reposts

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    7 comments
    11 saves
    11 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @vipulvedNice stats from @OpenRouter that illustrate how @togethercompute delivers solid and scaled performance for agentic workloads. We are serving GLM 5.3 and GLM 5.3 Flash @ top decile of TPS, latency, cache rate, and doing it at large volumes, 23% and 30% of all OpenRouter traffic, and OpenRouter is a fraction of our overall API traffic. Running scaled inference for agentic applications is a lot more than maxxing a single metric ... you need to optimize on all dimensions and doing so at scale with reliability. https://openrouter.ai/z-ai/glm-5.3 https://openrouter.ai/z-ai/glm-5.3-flash

    1 Source

    @vipulvedNice stats from @OpenRouter that illustrate how @togethercompute delivers solid and scaled performance for agentic workloads. We are serving GLM 5.3 and GLM 5.3 Flash @ top decile of TPS, latency, cache rate, and doing it at large volumes, 23% and 30% of all OpenRouter traffic, and OpenRouter is a fraction of our overall API traffic. Running scaled inference for agentic applications is a lot more than maxxing a single metric ... you need to optimize on all dimensions and doing so at scale with reliability. https://openrouter.ai/z-ai/glm-5.3 https://openrouter.ai/z-ai/glm-5.3-flash