Sesame vs Vapi

Comparing the features of Sesame to Vapi

Feature
Sesame
Vapi

Capability Features

A/B Experiments
AI Guardrails
API Access
API Configurability
4.2K+ configuration points
API-First Architecture
Automated Test Execution
Automatic Scalability
Millions of calls
Bring Your Own Models
Community Support
13000
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom Phone Number
Dataset Size
1 million hours
Dedicated Deployment Engineer
Documentation
Emotional Intelligence
Enterprise Compliance
SOC2HIPAAPCI
Evaluation Suite
Inbound Calls
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multi-language Support
100+ languages
Multiple Speaker Handling
No-code/Low-code Workflow
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Outbound Calls
Partial Multilingual Support Planned
Planned for 20+ languages
Prebuilt Templates
1000s
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Tool Calling
Training Epochs
5
Ultra-low Latency
Sub-500ms
Uptime SLA
99.99% uptime

Integration Features

Client SDK
React (web SDK)
Downloadable SDK ZIP
GitHub Release
Github Repository
Integrations Information
40+ apps
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
OpenAI Integration
openaigpt-4o
Server SDKs
TypeScriptPythoncURL

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Built-in Telephony Provider Mentioned
No Explicit Pricing Details
No Explicit Usage Quotas Listed
No File Format Support Listed
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Free Tier
Open Source
Apache 2.0