This page lists every Audio AI models tracked on GenAIList. When choosing a model, weigh raw capability against practical constraints like context window, latency, licensing and price. Open-weights and open-source models can be self-hosted and fine-tuned, while proprietary models often lead on raw quality. Compare benchmark scores on our benchmarks page and put two candidates head to head with compare.

Frequently asked questions

How do I choose the right model?

Weigh raw capability against practical constraints like context window, latency, licensing and price. Use the benchmarks page to compare rankings and the compare tool to evaluate two candidates side by side.

Where can I see benchmark scores?

Visit the benchmarks page to compare these models on standardised tests, then use the compare tool for a detailed side-by-side of any two models.

Magenta RealTime 2

Music v2

Stable Audio 3.0

GPT-Realtime-2

FoleyGRAM

Suno v5

STAGE

Lyria RealTime

DolphinGemma

CassetteAI

Typhoon2-Audio

Suno v4

NatureLM-audio

Movie Gen Audio

Art2Mus

Whale Bioacoustics Model

Audioseal

Tiangong SkyMusic

Voice Engine

Suno v3

MAGNeT

Suno Music Generation

Bird Vocalization Classifier (Perch)

Lyria

MultiBand Diffusion

AudioLM

MusicGen

Suno Bark Model

AudioGen

MusicLM

VALL-E

EnCodec

MuseNet

RNN (SGD+CLR)

About Audio AI models

Frequently asked questions

How do I choose the right model?

Where can I see benchmark scores?

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