Meta AI

AudioGen

Open-source generative audio model.

Generates audio from textOpen-sourceSound effect generationResearch potential
Today's score
83.0
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Where it ranks today

Best for / Not great for

Best for
  • Sound effect generation research
  • Prototyping audio concepts
  • Creating unique soundscapes
  • Academic use
Not great for
  • Speech synthesis
  • Music composition
  • Commercial deployment without expertise
  • High-fidelity, complex audio

Why it ranks here

AudioGen is a notable open-source model for generating audio, including sound effects, from text prompts, appealing to researchers and developers exploring generative audio.

30-day trend

Score breakdown

Search trends85
Benchmarks80
Developer buzz88
News mentions80

Pricing

API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo

Pricing plans

Popular
Open Source
Free for research and non-commercial use.
Free
  • Model weights
  • Code repository
  • Research implementations
View on GitHub
Compare with another modelHow is this score calculated? →Snapshot 2026-05-13