Realtime Model APIs
Speech-to-speech and realtime multimodal model APIs for low-latency conversational sessions.
- Deployment
- api, WebRTC, WebSocket
- Modalities
- voice, text, multimodal
- Strengths
- realtime sessions; tool calling; broad model ecosystem
- Tradeoffs
- application layer and production controls remain your responsibility
- Deployment
- api, WebSocket
- Modalities
- voice, video, text
- Strengths
- multimodal realtime sessions; voice and visual context; tool support
- Tradeoffs
- provider-specific session model
- Deployment
- AWS, api
- Modalities
- speech-to-speech
- Strengths
- AWS-native deployment; speech-to-speech interaction; enterprise cloud fit
- Tradeoffs
- best fit for teams already on AWS
- Deployment
- self-hosted, open weights
- Modalities
- voice, text
- Strengths
- open speech LLM direction; research-friendly; pipeline simplification
- Tradeoffs
- higher engineering effort than managed APIs
What to measure next
- session setup latency
- audio response latency
- tool calling reliability
- multimodal support
- debuggability and session controls
V1 methodology note
This page is a curated directory, not a measured leaderboard. Scores will be added only when the methodology, scenarios, and raw assumptions are public.