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Eleven v3

Eleven v3 is ElevenLabs' expressive speech synthesis model with 70+ languages, audio tags, dialogue generation and public API access.

Audio GenerationTextAudio Freemium
In plain English

What is this model and why does it matter?

Eleven v3 is ElevenLabs' expressive text-to-speech model with 70+ languages, audio tags and natural multi-speaker dialogue.

VoiceoversAudiobooksCharacter dialogueEmotional speechMultilingual speech synthesis
Model overview

Eleven v3: features, use cases and important details

Eleven v3 is ElevenLabs’ expressive text-to-speech model and the verified identity behind this page.

Verified model facts

Current documentation lists model ID eleven_v3, support for 70+ languages, a 5,000-character limit, audio tags and multi-speaker dialogue.

Current status

The public API became available August 20, 2025 and remains in the current lineup.

Best fit

It is best for audiobooks, character performances, multilingual voiceovers and emotionally rich produced audio.

Limitations

ElevenLabs notes v3 has higher latency and more variable consistency than realtime-oriented models.

Get started

How to use this model

  1. Create an ElevenLabs account and API key.
  2. Choose a voice.
  3. Call Text to Speech with model_id eleven_v3.
  4. Add supported audio tags for expressive delivery.
  5. Use the dialogue endpoint for multi-speaker scenes.
Copy and try

Example prompts

  • [whispers] We finally made it.
  • Read this narration with a warm, reflective tone.
  • Generate a natural conversation between these two speakers.
Capabilities

What it can do

  • Expressive text-to-speech
  • 70+ languages
  • Audio tags
  • Multi-speaker dialogue
  • Emotional delivery
Best for

Practical use cases

  • Audiobooks
  • Character performances
  • Marketing voiceovers
  • Localization
  • Creative audio
Pricing

What does it cost?

ElevenLabs bills speech generation through current API/subscription pricing rather than LLM token pricing; check the live pricing page.

Simple summaryPricing is usage/plan based rather than LLM input/output token pricing.

What stands out

  • 70+ languages
  • High emotional range
  • Audio-tag control
  • Official API access
  • Multi-speaker dialogue

Things to consider

  • Higher latency and more variable consistency than realtime-focused models
  • Proprietary service
  • 5,000-character model limit
Limitations

Important restrictions and trade-offs

  • ElevenLabs notes v3 is not the best choice for low-latency conversational use
  • Voice output needs review
  • Pricing is usage based
SimplifyAITools verdict

Our editorial take

A strong choice for expressive produced speech; use realtime-focused Eleven models when latency matters more.

References

Primary sources

  1. Open source 1 ↗
  2. Open source 2 ↗
  3. Open source 3 ↗
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