GitPodcast vs Sesame

Comparing the features of GitPodcast to Sesame

Feature
GitPodcast
Sesame

Capability Features

Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Example Repositories Provided
Click3FastAPIStreamlitFlaskapi-analyticsMonkeytype
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
No Sign-in Needed for Basic
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Podcast Generation Automation
Podcast Length Options
Basic (~5min)In Depth (~10min)
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
URL Shortcut

Integration Features

GitHub Integration
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Mention of Export Features
No Mention of Pricing Plans
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
Sign-in Required for In-Depth

Pricing Features

Free Preview
Free Tier
Open Source
Apache 2.0