MuseNet is a deep neural network that generates 4-minute musical compositions using 10 different instruments, blending various styles from country to classical to pop. It learns patterns of harmony, rhythm, and style from predicting the next token in a vast number of MIDI files, akin to GPT-2's text prediction. It allows the creation of unique compositions by combining multiple styles and instruments, though it has limitations in handling odd pairings. MuseNet uses advanced tokens and the Sparse Transformer to create structured, long-form music.
Key capabilities that make Musenet (OpenAI) stand out.
Generates 4-minute compositions
Supports 10 different instruments
Blends multiple musical styles
Learns from millions of MIDI files
Uses composer and instrumentation tokens
Employs the Sparse Transformer
Handles long-term musical structures
Interactive advanced mode
Simple mode for quick generation
Creates both curated and random samples
The organization behind Musenet (OpenAI).
Creating safe AGI that benefits all of humanity
Large language models from the same organization.
| Model | Context Window | Price (In / Out per M) |
|---|---|---|
| GPT-5.4Current | 1.1M | $2.50 / $15.00 |
| GPT-5.3 CodexCurrent | 400K | $1.75 / $14.00 |
| o3Current | 200K | $10.00 / $40.00 |
| GPT-4o miniCurrent | 128K | $0.15 / $0.60 |
| GPT-4oCurrent | 128K | $2.50 / $10.00 |
| GPT-5 | 400K | $1.25 / $10.00 |
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Who benefits most from this tool.
Creating innovative music by blending multiple styles and instruments.
Generating unique samples for new tracks.
Exploring new melodies and harmonies.
Composing background scores with diverse styles.
Experimenting with music creation without formal training.
Teaching musical patterns and styles through AI-generated examples.
Studying the application of neural networks in creative fields.
Creating personalized music compositions for fun.
Learning about different styles by generating examples.
Generating unique music for podcast intros and outros.