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Nice stats from @OpenRouter that illustrate how @togethercompute delivers solid and scaled performance for agentic workloads. We are serving…

Nice 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, cac

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Nice 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

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Source: Together AI (X) | 2026-09-11

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