AssemblyAI vs Sesame

Comparing the features of AssemblyAI to Sesame

Feature
AssemblyAI
Sesame

Capability Features

Auto-Language Detection
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Industry Leading Accuracy
Keyterms Prompting
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
No-Code Playground
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Preferred by End Users
Preferred by 73% of end users
Pronunciation Correction
Reduced Hallucinations
Up to 30% less
Scalable Platform
Sequence Length
2048
Single-Stage Model
Smart Formatting
Speaker Diarization
Speech Understanding
Speech-to-Text
Subjective Metrics
Comparative Mean Opinion Score
Supported Audio Types
Pre-recorded and streaming audio
Text and Audio Input
TextAudio
Training Epochs
5

Integration Features

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

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Explicit Feature Limits
No Pre-trained Language Model Use
No Throttling
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free API Trial
Free Preview
No Contracts
Open Source
Apache 2.0
Pay as you go pricing