GLM-4.5 (EmberCloud)

GLM-4.5 belongs to the GLM family of large language models and, on this route, is offered as a text-in, text-out model aimed at long-document analysis, programmatic tool use, and developer-oriented workflows. Source 2 attributes the underlying model to Zhipu and labels the offering as STABLE, indicating it is positioned for production traffic rather than experimental preview access. The EmberCloud listing on LLM Gateway exposes it through an OpenAI-compatible API base, with a JavaScript SDK referenced in the integration notes, making it straightforward for teams already standardized on that pattern to drop in as a backend model.

In practical terms, the EmberCloud route is shaped around working with very large inputs while keeping per-token cost modest, which suits retrieval-heavy assistants, document summarization, and agentic pipelines that pass large contexts to a model. Tool use is explicitly advertised on the route, paired with adjustable temperature, so callers can tune determinism for structured pipelines while still leaving room for open-ended generation when needed. The combination of a generous context window, an output ceiling suited to long answers, and native tool-calling support makes this GLM-4.5 deployment a fit for developers who want a general-purpose Chinese-trained family model accessible through a familiar gateway API rather than a direct vendor integration.