Inworld AI Platform vs Sesame

Comparing the features of Inworld AI Platform to Sesame

Feature
Inworld AI Platform
Sesame

Capability Features

Advanced Emotion Control (Pro+)
API Key Authentication
Available to Everyone
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Cost Reduction
>95% cost reduction
Dataset Size
1 million hours
Demo Characters
Hades (Game NPC)Alex (Tutor)Dennis (Therapist)Ashley (AI Friend)Mark (Call Center)
Emotional Intelligence
Evaluation Suite
Hosted, On-Premise, On-Device
HostedOn-PremiseOn-Device
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multilingual TTS Support
Multiple Speaker Handling
Non-Verbal Control
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Open Source
Apache 2.0
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Provider-Agnostic
Realtime Pipelines
Realtime Streaming Output
Scaling Support
Sequence Length
2048
Single-Stage Model
SOTA Multimodal AI
Subjective Metrics
Comparative Mean Opinion Score
Templates for Realtime Pipelines
Text and Audio Input
TextAudio
Training Epochs
5
TTS Playground
Visual Graph System
Voice Cloning

Integration Features

GitHub Release
Integrations Information
VapiLiveKit
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
One API Key

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
Usage Quotas
13/1000

Pricing Features

Free Preview
Has Free Tier
Pricing Compared to Competitors
>90% cheaper than competing models
Pricing Plans