Beatoven.ai vs Sesame

Comparing the features of Beatoven.ai to Sesame

Feature
Beatoven.ai
Sesame

Capability Features

Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Copyright Claim Support
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Export to MP3
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Monetization License
Multimodal Prompt Support
Multiple Speaker Handling
Music Customization
Music Sampling for Remixes
No Overwhelming UI
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Perpetual License
Pronunciation Correction
Royalty-Free Licensing
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Supported Use Cases
Video content (YouTube)PodcastsGamesShort films/TrailersAI ArtSocial MediaAudiobooksAdvertisementsLivestreams
Text and Audio Input
TextAudio
Text-to-Music
Training Epochs
5
WAV Export

Integration Features

API Access
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

Cannot Model Conversation Structure
Content Ownership Restriction
Beatoven.ai retains ownership
English Language Dominance
Memory Bottleneck in Training
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
Spotify Distribution Restriction

Other Features

Fair Training Certification

Pricing Features

Free Preview
Free Tier
Open Source
Apache 2.0
Pay Per Track
Pricing Plans