GLM-4-Voice-9B is an end-to-end voice model developed by Z.ai, capable of directly understanding and generating Chinese and English speech, with real-time conversation capabilities and adjustable attributes like emotion and dialect. It is built on the GLM-4-9B model with pre-training and alignment on speech modality.
Input
Output
Context
8K
Max Output
-
Parameters
9.5B
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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.
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Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Glm 4 Voice 9B advertises a context window of 8,192 tokens. 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. Glm 4 Voice 9B 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.
Glm 4 Voice 9B accepts Text and Audio and produces Text and Audio. 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 Glm 4 Voice 9B 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; Glm 4 Voice 9B 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.
Glm 4 Voice 9B 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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