GLM 5.2 TEE

GLM 5.2 TEE is a text-to-text language model served through Chutes, designed for workflows that benefit from extended context handling. Its million-token context window allows it to ingest and reason over very large documents, codebases, or conversation histories in a single pass, while the substantial maximum output length supports long-form generation tasks including detailed reports, multi-step agentic workflows, and extended structured outputs. The model advertises capabilities such as reasoning, tool calling, temperature control, and structured output, positioning it as a general-purpose assistant suited for complex multi-turn tasks and integrations where the model must call external functions or APIs.

From a practical deployment standpoint, GLM 5.2 TEE is listed as an open-weights model, which makes it relevant for teams interested in self-hosting or fine-tuning, though specific weight distribution channels and license terms are not detailed in the available evidence. The pricing structure includes a discounted cache-read rate that benefits repeated or iterative workloads where the same prompt context is reused across calls, potentially lowering costs for retrieval-augmented generation and long-context applications. Overall, the combination of a large context window, standard capability set, and cache pricing makes this model a reasonable fit for developers building long-context assistants, document analysis pipelines, and tool-augmented agents on the Chutes platform.