Skip to content
← Models
Open weightsOpenAI/10 trustMetrics-checked

Jukebox

OpenAI's landmark raw-audio music generator with singing, from 2020.

Visit official page →

About

Jukebox, released by OpenAI in April 2020, was the first system to generate music with singing directly in the raw audio domain. It compresses 44.1kHz audio into discrete codes with a hierarchical VQ-VAE at three temporal resolutions, then models those codes with autoregressive sparse transformers, producing minute-long songs with long-range coherence.

Generation can be conditioned on artist, genre, and unaligned lyrics to steer musical and vocal style. OpenAI released thousands of non-cherry-picked samples along with model weights and code, making it a landmark of open audio research. It is enormously compute-hungry by modern standards and has been surpassed in quality by diffusion and codec-LM systems, but as a historical entry it proved raw-waveform song generation was possible at all.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

April 30, 2020

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

music-generationaudio-synthesisresearchcreative-ai

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 78; Trending score 68/100 from researcher assessment.

Sources