Sesame vs Layercode

Comparing the features of Sesame to Layercode

Feature
Sesame
Layercode

Capability Features

Agent Dashboard
Analytics
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom Backend Integration
Customizable Voices
Dataset Size
1 million hours
Distributed Architecture
Emotional Intelligence
Evaluation Suite
Global Edge Infrastructure
330+ locations
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multi-language Support
100+ voices32 languages
Multiple Speaker Handling
Multiple Voice Model Providers
Natural Turn Taking
No Shared Infrastructure
No Vendor Lock-in
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Observability
Partial Multilingual Support Planned
Planned for 20+ languages
Per-Call Isolation
Production-Ready Voice Agents
Pronunciation Correction
Scalability
Sequence Length
2048
Single-Stage Model
Sub-50ms Processing
50
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Transparency and Monitoring
Ultra Low Latency
Zero Cold Starts

Integration Features

AI SDK Integration
CLI Integration
Frontend Integration
WebMobilePhone
GitHub Release
Google Generative AI Integration
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Node Server SDK
React SDK
Webhooks

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
More Providers Coming Soon
No Low/No-Code Frontend
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

$2,000 Startup Credits
2000
Free Preview
No Charge for Silence
Open Source
Apache 2.0
Startup Program
Usage-Based Pricing