Generative Audio AI
The Future of
Music Generation
2024 marked a breakthrough: AI can now compose full songs with realistic vocals, coherent lyrics, and professional production. From Suno to MusicGen, explore the state of the art.
Generation Capabilities
4 min
Max Song Length (Suno/Udio)
Full Vocals
AI-Generated Singing
48 kHz
Max Output Quality
Model Comparison
| Model | Quality | Vocals | Duration | Type | Year |
|---|---|---|---|---|---|
Suno v3.5 Suno AI | Excellent | Yes | 4 min | Cloud API | 2024 |
Udio Udio Inc. | Excellent | Yes | 4 min | Cloud API | 2024 |
MusicGen Large Meta | Good | No | 30 sec | Open Source | 2023 |
Stable Audio 2.0 Stability AI | Good | No | 3 min | Open Source | 2024 |
Suno v3.5
Suno AI
Features
Full songs with vocalsLyrics generationStyle transferInpainting
Pros
- +Best vocal quality
- +Coherent song structure
- +Easy to use
Cons
- -API only
- -Usage limits on free tier
- -Training data concerns
Udio
Udio Inc.
Features
High-fidelity vocalsGenre diversityAudio-to-audioRemix
Pros
- +Exceptional audio quality
- +Good genre coverage
- +Creative controls
Cons
- -API only
- -Waitlist access
- -Limited customization
MusicGen Large
Meta
Features
Text-to-musicMelody conditioningStereo output
Pros
- +Fully open source
- +Runs locally
- +Good for instrumentals
- +Melody control
Cons
- -No vocals
- -Short clips
- -Lower quality than Suno/Udio
Stable Audio 2.0
Stability AI
Features
Long-form generationAudio-to-audioHigh sample rate
Pros
- +Open weights
- +44.1kHz output
- +Long generations
Cons
- -No vocals
- -Requires GPU
- -Less coherent than Suno
Which Model Should You Use?
Best Quality
Suno v3.5 / Udio
For professional-quality output with vocals. Best for content that will be published or shared.
Best Open Source
MusicGen Large (Meta)
For local generation, research, or instrumentals. Melody conditioning is unique capability.
Best for Long Form
Stable Audio 2.0
For 3-minute+ ambient or instrumental pieces. High sample rate and open weights.
Contribute to Music AI
Working on new music generation models or evaluation methods? Help the community by sharing your benchmarks and insights.