Sesame vs Call AI

Comparing the features of Sesame to Call AI

Feature
Sesame
Call AI

Capability Features

24/7 Availability
Account Management
Business Use Case Support
Customer supportSalesTrainingExecutive assistanceAI podcast hosts
Call Transcripts
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom AI Bot Creation
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Feedback-Based Improvement
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple AI Personas
Sophie (Therapist)Alex (Daily planner)Michelle (Parenting coach)Marvin (Tech support)Page (Idea partner)Ryan (Journaling pal)Custom AI bot
Multiple Speaker Handling
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Personal Memory (In Development)
Proactive AI Features
Pronunciation Correction
Scheduled Calls
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Voice Customization

Integration Features

Calendar Integrations
Email Integration
GitHub Release
Google Search Integration
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Notion Integration
Phone Integration
Planned Google Meet Integration
Planned Microsoft Teams Integration
Planned Web Integration
Planned Zoom Integration

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Human Therapist Replacement Limitation
Memory Bottleneck in Training
No API Mentioned
No Pre-trained Language Model Use
No Web Chat Yet
Payment Required After Free Minutes
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Call Duration
4
Free Preview
Free Tier
Open Source
Apache 2.0
Pay-per-minute Rate
15 cents per minute