Try GLM-5.1, the new frontier of open intelligence, on Modal

Modal Research announces that Z.ai’s open-weight GLM-5, later upgraded on its free endpoint to GLM-5.1, offers frontier-level performance for long-horizon coding agents and systems-engineering tasks under an MIT license, positioning it as an open alternative to recent proprietary models. The post describes GLM-5’s roughly 700 GB FP8 size, mixture-of-experts architecture, sparse-attention approach, and multi-GPU deployment requirements, while reporting internal throughput of 30 to 75 tokens per second per user on eight NVIDIA B200 GPUs using SGLang and specialized DeepSeek kernels. Modal provides reproducible self-hosting code and a free, OpenAI-compatible endpoint available through April with one concurrent request per user, along with commercial options for higher limits or managed deployment. It also explains how to connect the endpoint to OpenCode, OpenClaw, Claude Code through a LiteLLM proxy, and the Vercel AI SDK, emphasizing compatibility with popular agent and application frameworks.

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