MA
Meta AI
Audio model · United States ·Jun 2023

MusicGen

Audio Open Weights
3.4B
Parameters

About MusicGen

MusicGen is an AI model developed by Meta AI, in the audio category, released in 2023, made available as an open-weights model with 3.4B params.

On this page you'll find MusicGen's full specifications. Review provider pricing and benchmark scores below, or compare MusicGen head-to-head with other audio models.

→ More models by Meta AI → All audio models → AI benchmarks leaderboard

Links

Announcement ↗

Run MusicGen locally — what fits

GPUs with enough VRAM to hold MusicGen at FP16 (lower precision needs less), from best value to most headroom. Generation speed depends on your tool, resolution and step count, so we don't estimate it.

Good
Intel Arc B580 12GB
Consumer GPU · ~$249
12 GB VRAM
fits at FP16 · ~2.8 GB headroom
See fit detail →
Better
AMD Ryzen AI Max+ 395
Consumer GPU · ~$1,999
128 GB VRAM
fits at FP16 · ~107 GB headroom
See fit detail →
Best
Apple M2 Ultra 192GB
Apple · ~$6,600
192 GB VRAM
fits at FP16 · ~164.6 GB headroom
See fit detail →

VRAM fit only — we don't estimate generation speed for image/video/audio models (it depends on the tool, resolution and steps).

Consumer GPU
28 options that fit
→
Apple
17 options that fit
→
Datacenter GPU
13 options that fit
→

Community

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Frequently asked questions

What is MusicGen? ▶

MusicGen is an AI model developed by Meta AI, in the audio category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created MusicGen? ▶

MusicGen was developed by Meta AI and released in 2023.

Is MusicGen open source or proprietary? ▶

MusicGen ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does MusicGen cost? ▶

Pricing for MusicGen depends on the provider. See the providers table on this page for the latest API rates.

How does MusicGen perform on benchmarks? ▶

Benchmark scores for MusicGen are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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