Outspeed vs Sesame

Comparing the features of Outspeed to Sesame

Feature
Outspeed
Sesame

Capability Features

Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Documentation Available
Emotional Intelligence
Emotive AI Voice
Evaluation Suite
High Concurrency
Low Latency
Minutes Served
1M+
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multi-language Support
Multiple Speaker Handling
Natural Prosody and Emotion
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Quick Integration
Real-Time Voice Generation
Scalable Platform
Sequence Length
2048
Simple API
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
TTS Voice
Unlimited Use
Voice for AI Companions
White Glove Support

Integration Features

API Integrations
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
SDK Integration

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Explicit Usage Quotas
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