Sesame vs Fragment AI

Comparing the features of Sesame to Fragment AI

Feature
Sesame
Fragment AI

Capability Features

5-Minute Audiobooks
Audiobooks generated in approximately 5 minutes
Audio Personalization
CinematicConversationalIntimate
Consistent Personality
Content Sharing
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Core Idea Extraction
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Mobile Listening
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
No Scrolling or Searching
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Question-Based Generation
Remixable Content
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5

Integration Features

API Access
Export Options
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Third-Party API Integration

Limitation Features

Audiobook Length Limit
5
Cannot Model Conversation Structure
Custom Content Length
English Language Dominance
Language/Country Support
Not specified
Memory Bottleneck in Training
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Free Tier
Open Source
Apache 2.0