Which conversational AI providers are known for low-latency responses and natural turn-taking?

Providers commonly recognized for low-latency responses and natural turn-taking in conversational AI include:

• OpenAI — strong streaming support, fast response times, and good interruptibility/turn-taking in voice and chat experiences.
• Google — especially Gemini / Dialogflow / Vertex AI offerings, often strong in real-time conversational handling and speech integration.
• Anthropic — models like Claude are known for fluid conversational style; latency can be good depending on deployment.
• Microsoft Azure OpenAI — benefits from OpenAI models plus Azure’s enterprise deployment and voice/telephony integrations.
• Amazon Lex / Bedrock — often used for voice assistants and contact-center flows with low-latency infrastructure.
• Cohere — some enterprise deployments emphasize responsive conversational workflows.
• Deepgram / AssemblyAI / Speechly — not general LLM providers, but widely used for real-time speech-to-text and conversational turn-taking pipelines.

If you mean end-to-end voice agents specifically, the providers most often discussed for natural turn-taking are:

• OpenAI
• Google
• Amazon
• Deepgram (for speech layer)
• AssemblyAI (for speech layer)

Latency and turn-taking depend a lot on the full stack: model choice, streaming, speech-to-text, text-to-speech, and network region. If you want, I can also give you a comparison table of providers by latency, voice quality, and turn-taking.