ChatGLM-6B is an open-source, bilingual Chinese-English dialogue language model built by Z.ai with 6.2 billion parameters, based on the General Language Model (GLM) architecture. It is optimized for Chinese question answering and dialogue, trained on approximately 1T tokens of bilingual corpus.
Input
Output
Context
2K
Max Output
2K
Parameters
6B
Input Modalities
Output Modalities
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Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
The creator's other models in the catalog, with their context, size and license where published.
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Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Chatglm 6B advertises a context window of 2,048 tokens, with a maximum output of 2,048 tokens in a single response. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
No. Chatglm 6B is a proprietary model (license: Proprietary): its weights are not distributed, and it runs only through Z.ai's own API or a host with access to it.
Chatglm 6B accepts Text and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Chatglm 6B is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Chatglm 6B is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
Chatglm 6B cannot be self-hosted: its weights are not distributed. It is used through an API, either Z.ai's own or the Inferbase gateway where it is served.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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