Pinch vs Sesame

Comparing the features of Pinch to Sesame

Feature
Pinch
Sesame

Capability Features

AI Interpreter 24/7
Business Terminology Support
Consistent Personality
Context Awareness
Context-Aware Translation
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Enterprise-Grade Translation
Evaluation Suite
FAQ and Knowledge Base
Get a Demo
Language/Country Support
50+ languages
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multilingual Conversation Training
Multiple Speaker Handling
No Download Required (Web)
No Third-Party Bots
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pinch API Availability
Pinch API Documentation
Professional-Grade Voice Translation
Pronunciation Correction
Real-time Voice Translation
Sequence Length
2048
Simultaneous Interpretation
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Web Meeting Platform
WebRTC Video Conferencing

Integration Features

Chrome Browser Support
GitHub Release
LLama Architecture Backbone
macOS Compatibility
Mimi Split-RVQ Tokenizer
Supported Platforms
ZoomTeamsMeetDiscordWhatsAppMacChrome
Supports Over 100 Apps

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

Pricing Features

Free Preview
Has Free Tier
Open Source
Apache 2.0