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BenchLM
EstablishedReleased Dec 3, 2024Open WeightNon-ReasoningN/A contextZhipu AI model documentation

GLM-4-Voice

Decision reading
GLM-4-Voice is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Released Dec 3, 2024 — see all recent releases

Data as of September 18, 2026 · How the score is built

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Voice benchmark evidence

VoiceBench is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.

Owner rank
#33 of 43
Overall score
56.48
Architecture
omni hd
Access
open
IF-Eval
25.92
AdvBench
88.08
1 owner-published configuration mapped · snapshot 2026-09-18
Open benchmark profileModel documentation

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not publishedZhipu AI model documentation
Context window
N/A
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
Published weights or implementation resources are linked from the model card.
Cloud regions
Not tracked yet
Lifecycle
Established
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordZhipu AI model documentation
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.

Estimate VRAM from known parameters

Lineage

The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Dec 3, 2024 · you are here

    GLM-4-Voice

    Not publicly ranked · Price not listed

Base entry

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track GLM-4-Voice, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.

GLM-4-Voice is a open weight model with a N/A context window. No explicit reasoning mode is documented in this profile.

Published weights or implementation resources are linked from the model card.

GLM-4-Voice is tracked because it appears in voicebench. Voice-protocol results remain separate from BenchLM's weighted text-model ranking.

The profile has no source-displayable benchmark row yet.

Questions

How does GLM-4-Voice perform overall in AI benchmarks?

GLM-4-Voice does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.

Is GLM-4-Voice open source?

GLM-4-Voice is an open-weight model from Zhipu AI. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Does GLM-4-Voice have full benchmark coverage on BenchLM?

No. GLM-4-Voice currently has 0 source-displayable rows across 446 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of GLM-4-Voice?

GLM-4-Voice has a reported context window of N/A in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

Compare GLM-4-Voice with every tracked model490 comparisons

Last updated September 18, 2026. Runtime fields remain blank until a sourced snapshot exists.

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