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Voice & realtimeLive
ElevenLabsEleven v3 Conversational
ElevenLabs' expressive realtime text-to-speech model for natural dialogue, emotional delivery, audio tags, and more than 70 languages.
Plain-English overview
What Eleven v3 Conversational actually is
Eleven v3 Conversational focuses on the voice layer: turning text or dialogue markup into expressive streamed speech. It is useful when your application already has an LLM and agent orchestration but needs a more performative speaking voice.
The provider's roughly 280ms figure excludes network and application latency, so it should be treated as model latency rather than full conversational response time.
Good fit for
- Expressive support and assistant voices
- Multilingual interactive characters
- Agent stacks that already supply reasoning and tools
Category comparison
The facts that matter for voice models
These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.
- Price basis
- $0.05 / 1K charactersToken-, character-, or minute-based price for the listed access route.
- Interaction mode
- Realtime text-to-speech / text-to-dialogueSpeech-to-speech, audio-to-audio, or streamed text-to-speech behavior.
- Published latency
- ~280ms, excluding app/networkProvider-published measurement with its stated exclusions; not a Cody test.
- Languages
- 70+ languagesProvider-documented language coverage or a clear unpublished marker.
- Tools & control
- Audio tags; orchestration handled by your agent stackNative function calling, reasoning, or speech-control features.
- Context or input limit
- 5K-character guidance for v3 family; verify endpointDocumented token or character limit where it is meaningful.
API and provider access
Where to get Eleven v3 Conversational
Availability
Regions and access stage
Available through the ElevenLabs API and realtime Text to Dialogue WebSocket.
Default storage is US; enterprise isolated environments are offered in the EU, India, and Singapore, with processing caveats.
Check live availabilityData and training
The route matters.
ElevenLabs says enterprise customer data is not used for training by default. Other users can opt out of model improvement; enterprise zero-retention and regional environments are available with plan-specific limits.
This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.
Read the provider policyFrequently asked questions
Eleven v3 Conversational FAQ
What is Eleven v3 Conversational?
ElevenLabs' expressive realtime text-to-speech model for natural dialogue, emotional delivery, audio tags, and more than 70 languages. Eleven v3 Conversational focuses on the voice layer: turning text or dialogue markup into expressive streamed speech. It is useful when your application already has an LLM and agent orchestration but needs a more performative speaking voice.
When was Eleven v3 Conversational released?
The provider does not publish a clear release date for Eleven v3 Conversational in the source material reviewed by Cody.
Where can I access Eleven v3 Conversational?
Available through the ElevenLabs API and realtime Text to Dialogue WebSocket. The access routes listed in this guide are ElevenLabs.
How much does Eleven v3 Conversational cost?
$0.05 / 1,000 characters. ElevenLabs pay-as-you-go API price for v3 Conversational text-to-speech.
Where is Eleven v3 Conversational available?
Available through the ElevenLabs API and realtime Text to Dialogue WebSocket. Default storage is US; enterprise isolated environments are offered in the EU, India, and Singapore, with processing caveats.
Is my Eleven v3 Conversational API data used for training?
ElevenLabs says enterprise customer data is not used for training by default. Other users can opt out of model improvement; enterprise zero-retention and regional environments are available with plan-specific limits. The policy belongs to the provider route and account terms, so verify it again before production use.
Related comparisons
Head-to-head comparisons
Eleven v3 Conversational vs Gemini 3.8 Flash TTS
Google's speech-generation model for expressive narration, character voices and dialogue in 130 languages.
Open full comparisonEleven v3 Conversational vs Gemini 3.8 Flash-Lite TTS
Google's lower-cost speech-generation model for read-aloud features and high-volume audio in 101 languages.
Open full comparisonEleven v3 Conversational vs GPT-Live 1
OpenAI's full-duplex voice frontend for natural conversation that delegates deeper reasoning and actions to a separate backend agent.
Open full comparisonEleven v3 Conversational vs Gemini 3.8 Live
Google's real-time voice model for responsive conversations with audio, text and visual context.
Open full comparisonEleven v3 Conversational vs Gemini 3.8 Live Extended Thinking
A separate Gemini voice model that works through complex requests in the background while keeping the conversation going.
Open full comparisonEleven v3 Conversational vs GPT-Realtime-2.1
OpenAI's realtime speech-to-speech reasoning model for tool-using voice agents that also need text and image context.
Open full comparisonEleven v3 Conversational vs Gemini 3.1 Flash Live Preview
Google's preview audio-to-audio model for low-latency dialogue with multimodal awareness, thinking, search grounding, and function calling.
Open full comparisonEleven v3 Conversational vs Inworld Realtime TTS-2
Inworld's newest expressive realtime text-to-speech model, designed to remember conversational delivery and speak in more than 100 languages.
Open full comparisonEleven v3 Conversational vs Grok Voice Think Fast 2.0
SpaceXAI's current realtime speech-to-speech model for sub-second conversational agents with tool access.
Open full comparison
