Sesame vs Presto Voice

Comparing the features of Sesame to Presto Voice

Feature
Sesame
Presto Voice

Capability Features

Available 24/7
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Drive-Thru Voice Automation
Easy Installation
Easy Scalable Installation
Emotional Intelligence
Evaluation Suite
Integration Specialist Support
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Monthly Incremental Revenue Increase
6
Multiple Speaker Handling
Non-Intervention Rate
95
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Order Accuracy Improvement
Order Upselling Automation
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Proven ROI
Realistic AI Voices
Sequence Length
2048
Single-Stage Model
Spectrum of Voice AI
Staff Efficiency Optimization
Subjective Metrics
Comparative Mean Opinion Score
Superior Guest Experience
Text and Audio Input
TextAudio
Training Epochs
5
Upsell Offer Rate
88

Integration Features

GitHub Release
Headset Integration
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Partnership with ElevenLabs
POS Integration
QSR Brand Compatibility

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Mention of Free Tier
No Pre-trained Language Model Use
No Published Pricing
No Self-Service Signup
Not Consumer-Facing
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Open Source
Apache 2.0