Retell AI vs Sesame

Comparing the features of Retell AI to Sesame

Feature
Retell AI
Sesame

Capability Features

Agent Builder
Agent Testing
API Access
Appointment Scheduling
Auto-Sync Knowledge Base
Automatic Scalability
Millions of concurrent calls
Batch Calls
Branded Caller ID
Call History
Call Monitoring
Call Transfer Options
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Edge Case Handling
Emotional Intelligence
Evaluation Suite
Global Reach
Industry Compliance
SOC 2 Type 1&2HIPAAGDPR
LLM-Powered
Low Latency
500ms latency
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multi-language Support
18+ languages
Multiple Deployment Channels
AI phone callsWeb callsSMSChat
Multiple Speaker Handling
Natural Language Conversations
Navigate Through IVR
No Concurrency Limits
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Platform Uptime
99.99% uptime
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Verified Phone Numbers
Voicemail Detection

Integration Features

CRM/Automation Integrations
Cal.comn8nGoHighLevelTwilioVonageOpenAI
GitHub Release
Integrates with Any CRM
Integrates with Any Telephony
Integrates with Automation Platforms
Integrates with Databases
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Telephony Integration
TwilioVonageTelnyxPlivoRingCentral

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Desktop App Mentioned
No Mentioned Self-hosting
No Pre-trained Language Model Use
No Public Pricing Listed
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Free Tier
Open Source
Apache 2.0
Pricing Plan Details