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Data as of October 29, 2026 · How the score is built

EstablishedOpen WeightNon-Reasoning

Released Dec 13, 2024N/A contextAI Singapore model documentation

MERaLiON-AudioLLM

Decision readingMERaLiON-AudioLLM is tracked, but not publicly ranked yet. Published speech or voice results from VoiceBench appear below. They do not produce a weighted text-model score.

Released Dec 13, 2024 — see all recent releases

Voice benchmark evidence

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

Owner rank
#26 of 44
Overall score
65.04
Architecture
audiollm
Access
open
IF-Eval
62.93
AdvBench
94.81
1 owner-published configuration mapped · snapshot 2026-10-28

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Dec 13, 2024 · you are here

    MERaLiON-AudioLLM

    Not publicly ranked · Price not listed

Base entry

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 publishedAI Singapore 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 recordAI Singapore model documentation
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

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 MERaLiON-AudioLLM, 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.

MERaLiON-AudioLLM 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.

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

Speech or voice evidence appears above; text-model benchmark coverage remains empty.

Last updated October 29, 2026. Runtime fields remain blank until a sourced snapshot exists.

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

Questions

How does MERaLiON-AudioLLM perform overall in AI benchmarks?

MERaLiON-AudioLLM has published speech or voice results in VoiceBench. Those results remain separate from the weighted text-model ranking, so this profile does not assign a BenchLM score or overall rank. Use the linked evaluation's metric and run conditions to compare speech systems.

Is MERaLiON-AudioLLM open source?

MERaLiON-AudioLLM is an open-weight model from AI Singapore. 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 MERaLiON-AudioLLM have full benchmark coverage on BenchLM?

No. MERaLiON-AudioLLM's speech or voice results appear in VoiceBench, but it has no published text-model benchmark rows. The voice evaluation does not fill the text-model coverage slots or produce an overall rank. Missing text coverage is not treated as a zero score.

What is the context window size of MERaLiON-AudioLLM?

MERaLiON-AudioLLM 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.

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