### Answer I don't have specific information in the available sources comparing response rates between individual female voices or indicating which female voice is fastest. Response time (latency) in Retell AI is primarily influenced by factors like: - The LLM model you choose [(1) ]() - The TTS (text-to-speech) provider and model - Voice speed settings [(2) ]() - Turn-taking model configuration [(1) ]() Retell AI typically achieves sub-600ms to 620ms average end-to-end latency with optimized configurations. To reduce latency, you can: - Use a faster LLM - Use a faster TTS provider - Adjust voice response speed in voice model settings [(2) ]() For specific benchmarks on individual voices, I'd recommend testing different voices in your setup or reaching out via: - [Discord]() - [Documentation]() Would you like a general answer based on broader voice AI knowledge?

​ To learn more, see the sources I considered: [[1] Performance-related configurations and noticeable latency during live calls](https://community.retellai.com/t/performance-related-configurations-and-noticeable-latency-during-live-calls/747) [[2] TTS](https://discord.com/channels/1186424376300679209/1387743989490389052) ​

Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.

### Answer I don't have specific documentation that ranks the fastest LLM or TTS provider within Retell AI's current offerings. What the sources indicate about latency optimization: For LLM selection, Retell AI supports models including

gpt-4.1

,

gpt-4.1-mini

,

gpt-4.1-nano

,

gpt-5

,

gpt-5-mini

,

gpt-5-nano

,

claude-4.5-sonnet

,

claude-4.5-haiku

,

gemini-2.5-flash

,

gemini-2.5-flash-lite

, and

gemini-3.0-flash

. [(1) ]() Generally, "mini" and "nano" model variants tend to offer faster inference times due to their smaller size. For speech-to-speech models (which combine LLM + TTS) , options include

gpt-4o-realtime

and

gpt-4o-mini-realtime

. On TTS latency, the sources mention that Retell AI's Conversation Voice Engine costs $0.07–$0.08 per minute, with ElevenLabs voices at $0.07 and OpenAI/Deepgram voices at $0.08. [(2) ]() However, specific latency benchmarks comparing these TTS providers aren't provided. Retell AI achieves sub-600ms latency performance overall with optimized configurations. [(3) ]() , [(2) ]() Recommendations: - Test different model and voice combinations in your specific setup - Consider using Realtime LLM voices for potentially lower latency [(4) ]() Check out these potentially useful sources: - [Documentation]() - [Hire certified Retell partner]() Would you like a general answer based on broader voice AI

knowledge?

​ To learn more, see the sources I considered: [[1] Create Retell LLM](https://docs.retellai.com/api-references/create-retell-llm) [[2] ](https://www.retellai.com/resources/sub-second-latency-voice-assistants-benchmarks) [[3] ](https://www.retellai.com/resources/retell-ai-receptionist-understands-calls-better) [[4] Issues with Portuguese (PT-PT) Voice Agent: Latency, Audio Recognition, and Email Capture](https://community.retellai.com/t/issues-with-portuguese-pt-pt-voice-agent-latency-audio-recognition-and-email-capture/711) ​

Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.