GLM-5.2 is now available on Telnyx Inference

Telnyx has added Z.ai's GLM-5.2 open-weight model to its Inference platform, hosted on owned B300 GPUs. The model leads Artificial Analysis with an Intelligence Index of 51, outperforming competitors, and uses Dynamic Sparse Attention to reduce FLOPs by 2.9x at long contexts. Telnyx claims customers switching from closed-source APIs see 75%+ cost reductions.

Contact us https://telnyx.com/contact-us Log in https://portal.telnyx.com GLM-5.2 by Z.ai is now available on Telnyx Inference https://telnyx.com/products/inference , hosted on our owned GPU infrastructure. GLM-5.2 is the highest-ranked open-weight model on Artificial Analysis https://artificialanalysis.ai/models/glm-5-2 , with an Intelligence Index of 51, outpacing MiniMax-M3 44 , DeepSeek V4 Pro 44 , and Kimi K2.6 43 . The model scores 99.2 on AIME 2026 https://artificialanalysis.ai/models/glm-5-2 and 62.1 on SWE-bench Pro https://www.swebench.com/ , placing it in the top tier for both reasoning and coding. The model uses Dynamic Sparse Attention DSA with IndexShare, which reuses sparse attention indexers across every four transformer layers to reduce per-token FLOPs by 2.9x at 1M context. The result is stable long-context performance for codebase analysis, document processing, and multi-turn agent sessions, without the performance degradation that hits standard attention at long sequence lengths. reasoning effort settings, from faster responses to maximum depth on complex reasoning tasks.Telnyx owns the B300 GPUs running GLM-5.2, which means no cloud provider markup baked into every token, no rate limits set by a third party, and no rented GPU fleet introducing variable performance. We control the hardware and the network end to end, so throughput and latency are predictable, not best-effort. Open-weight models are matching or beating closed-source on quality. The difference is price. Customers switching from closed-source APIs are seeing 75%+ cost reductions https://telnyx.com/pricing/inference-api with no compromise on quality and no vendor lock-in. Send your first request through the OpenAI-compatible Telnyx Inference API: curl https://api.telnyx.com/v2/ai/chat/completions \ -H "Authorization: Bearer $TELNYX API KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "zai-org/GLM-5.2-FP8", "messages": {"role": "user", "content": "Explain the IndexShare optimization in GLM-5.2."} }' Get started with Inference documentation https://developers.telnyx.com/docs/inference/models or sign up https://telnyx.com/sign-up in the portal.