Dramatic narration
Storytelling, games, trailers, ads, and character work that benefit from explicit emotion and performance direction.
Independent tool overview
Eleven v3 at a glance
Eleven v3 is ElevenLabs' expressive multilingual text-to-speech model for emotionally directed narration and multi-speaker dialogue. It supports 74 languages, inline audio tags, the web app, mobile tools, and public APIs, but teams should expect variable takes, a 5,000-character request limit, and strict voice-rights review.
Visit the official Eleven v3 site ↗
- Status
- Active and commercially available
- Developer
- ElevenLabs
- Model ID
- eleven_v3
- Languages
- 74
- Request limit
- 5,000 characters, approximately 5 minutes
- Core controls
- Audio tags, punctuation, stability, voice selection, and multi-speaker dialogue
- API price
- $0.10 per 1,000 characters on the current v3 API rate card
Overview
What Eleven v3 is
Eleven v3 is built for performance rather than plain, maximally consistent narration. Script cues in square brackets can direct emotion, delivery, reactions, and some sound events, while Dialogue Mode can render multiple speakers with shared context and timing.
The model is available through ElevenLabs' creative interface and API under the model ID `eleven_v3`. Current official documentation lists 74 supported languages and a 5,000-character limit per text-to-speech request, roughly five minutes of audio. A separate Eleven v3 Conversational model targets lower-latency dialogue; standard v3 remains the dramatic-production choice.
Expressiveness introduces variability. Voice selection, reference-audio quality, stability, punctuation, wording, and tag compatibility all affect the result. Production teams should budget for multiple generations, pronunciation review, editing, and consent/provenance controls rather than assuming one deterministic render.
Use cases
Who Eleven v3 is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Scripted dialogue
Podcasts, scenes, prototypes, and training simulations that need multiple synthetic speakers in one interaction.
Multilingual localization
Teams creating expressive versions across supported languages with native-speaker review for pronunciation and cultural fit.
Capabilities
Core Eleven v3 features
Inline audio tags
Directs delivery with cues such as whispers, laughter, sighs, emotion, accents, or contextual audio events; effectiveness varies by voice.
Dialogue Mode
Generates multiple speakers with contextual prosody and emotional interplay through dedicated text-to-dialogue workflows.
74-language coverage
Supports a broad multilingual set spanning major global languages and many lower-resource languages.
Expressive stability controls
Creative, Natural, and Robust behavior trades emotional range against consistency and prompt adherence.
Web and mobile creation
Generates v3 speech in ElevenLabs' creator tools without requiring code.
Public API
Supports text-to-speech and text-to-dialogue integration, including streaming flows, with usage charged by character.
Voice ecosystem
Works with designed voices, eligible clones, and a large shared voice library, subject to rights and plan rules.
Multiple export formats
The web product offers common audio downloads, with higher quality and additional formats depending on plan and interface.
Process
How the Eleven v3 workflow works
Step 1
Clear voice rights first
Use a licensed library voice, a designed voice, or a properly consented and policy-compliant clone; document the permitted audience, term, and commercial uses.
Step 2
Prepare speech-native text
Write numbers, abbreviations, names, and punctuation for how they should sound, then split long scripts at natural boundaries.
Step 3
Choose the right model
Use standard v3 for expressive performance, v3 Conversational for supported real-time dialogue, Multilingual v2 for stable long-form work, or Flash when latency and price dominate.
Step 4
Match voice to direction
Select a voice whose base samples already resemble the intended energy; a whisper tag will not reliably transform a fundamentally shouting voice.
Step 5
Add restrained tags
Insert emotion, reaction, and direction cues only where they improve the scene, and test their interaction with punctuation and context.
Step 6
Generate controlled variants
Keep the script, voice, model, and settings labeled while producing a small set of takes; remember that each new generation can consume quota.
Step 7
Review every language
Have a fluent listener check names, numbers, stress, emotion, accent, meaning, and potentially offensive or unnatural delivery.
Step 8
Edit and document provenance
Remove artifacts, normalize levels, keep generation IDs and consent records, disclose synthetic voice where required, and retain a human escalation path for public-facing use.
Cost
Eleven v3 pricing and free plan
ElevenLabs separates creator subscriptions and API economics. In the web product, v3 uses approximately one credit per character. The Free plan is personal and non-commercial; commercial rights begin on Starter. The current API rate card prices standard v3 at $0.10 per 1,000 characters, with subscription or pay-as-you-go options. Taxes and overages can be additional.
Free
$0/month
A personal, non-commercial trial of ElevenLabs tools.
- 10,000 shared credits per month
- Approximately 10,000 website v3 characters at the listed one-credit-per-character rate
- 3 Studio projects
- No commercial license
Starter
$6/month
The entry creator plan with commercial licensing.
- 30,000 shared credits per month
- Commercial license
- Instant Voice Cloning
- 20 Studio projects
Creator
$22/month; first month currently $11
A higher-capacity individual plan with professional voice cloning.
- 121,000 shared credits per month
- Professional Voice Cloning
- Additional-credit purchasing
- First-month promotion can change
Pro
$99/month
For higher-volume and higher-quality individual or production use.
- 600,000 shared credits per month
- 44.1 kHz PCM audio via API
- 192 kbps quality audio
- Includes Creator features
Scale / Business
$299 or $990/month
Team plans with seats, collaboration, and more voice-clone capacity.
- Scale: 1.8 million credits, 3 seats, 3 Professional Voice Clones
- Business: 6 million credits, 10 seats, 10 Professional Voice Clones
- Enterprise uses custom pricing and terms
ElevenAPI v3
$0.10 per 1,000 characters
The current standard v3 API unit price before applicable plan discounts, commitments, or taxes.
- Pay-as-you-go and subscription options are available
- Character costs and request IDs are exposed in API response metadata
- v3 Conversational is currently listed separately at $0.05 per 1,000 characters
- A 5,000-character standard-v3 request limit still applies
Pricing checked . Check current pricing at the source ↗
Assessment
Eleven v3 strengths and limitations
Where it stands out
- Exceptional emotional and performance range compared with conventional text to speech
- Audio tags make direction legible inside the script
- Dialogue Mode supports natural multi-speaker scenes without manually stitching every line
- Broad 74-language coverage from one model
- Available in no-code creator tools and documented public APIs
- A clear model lineup lets teams trade expression against latency, stability, and request length
- Commercial licensing begins on a relatively inexpensive paid tier
What to consider
- Creative and low-stability generations can hallucinate speech, overact, change pacing, or introduce artifacts; exact reproducibility should not be assumed.
- Audio tags are natural-language directions rather than guaranteed commands, and their effect depends heavily on the selected voice and context.
- The 5,000-character request cap is shorter than Multilingual v2 and Flash models, so long-form projects require careful segmentation and continuity editing.
- Standard v3 has higher and more variable latency than models optimized for real-time work; v3 Conversational is a distinct option.
- Eleven v3 does not support SSML break tags, so existing SSML-heavy pipelines may need prompt and pause-control changes.
- Official prompting documentation still uses research-preview or alpha language in places, and some Professional Voice Clones may perform less consistently with v3 than earlier models.
- Every generation consumes credits; expressive workflows that require many takes can cost materially more than the final script length suggests.
- Free-tier output is limited to personal, non-commercial use, and commercial users must understand the license attached to both the plan and the specific voice.
- Synthetic voices create impersonation, fraud, labor, copyright, publicity-right, and disclosure risks; technical availability is not permission to use a person's identity.
- Pronunciation, accent, code-switching, emotion, and cultural fit still need fluent human review in every target language.
Compare
Eleven v3 alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Miscellaneous
Fish Audio S1
A competing expressive speech model to test when voice style, multilingual quality, or economics differ from Eleven v3.
Explore Fish Audio S1 →Miscellaneous
TADA by Hume AI
Hume's open-source speech model emphasizes aligned text and audio and offers a different deployment and control tradeoff.
Explore TADA by Hume AI →Marketing
ElevenLabs
The broader ElevenLabs platform page is the better comparison point for users choosing among v3, Multilingual, Flash, agents, dubbing, and other audio tools.
Explore ElevenLabs →Questions
Eleven v3 FAQs
What is Eleven v3?
Eleven v3 is ElevenLabs' expressive multilingual text-to-speech model. It adds inline audio tags, wide emotional range, and multi-speaker Dialogue Mode for narration and scripted audio.
How many languages does Eleven v3 support?
Current official documentation lists 74 languages. Quality and accent fit can vary by voice and language, so fluent review is still necessary.
Is Eleven v3 available through the API?
Yes. Use model ID `eleven_v3` in the text-to-speech API or the dedicated text-to-dialogue endpoints. Standard requests have a 5,000-character limit.
How much does Eleven v3 cost?
The website currently charges one credit per character for v3. Creator plans range from Free to enterprise tiers, while the API rate card lists standard v3 at $0.10 per 1,000 characters. Regenerations, other products, taxes, and plan rules affect the total.
Can I use Eleven v3 commercially?
Commercial licensing is listed from the $6-per-month Starter plan upward. You must also have the rights to the script, selected voice, likeness, and distribution use; Free is documented as personal and non-commercial.
What are Eleven v3 audio tags?
They are bracketed natural-language directions such as `[whispers]`, `[laughs]`, or emotional cues. They influence the performance but are not deterministic and may work differently with each voice.
Is Eleven v3 good for audiobooks?
It can excel on dramatic sections, but its 5,000-character limit and variable performance make stable long-form production more labor-intensive. ElevenLabs identifies Multilingual v2 as the more stable long-form model.
Is Eleven v3 suitable for live agents?
Standard v3 prioritizes expression over latency. ElevenLabs now offers the separate v3 Conversational model for real-time dialogue, while Flash remains the lower-latency option. Test with the actual workload.
Can I clone someone else's voice?
Do not assume you can. ElevenLabs says Professional Voice Clones can only be created for your own verified voice; another person can create and verify their own clone and share it. Instant cloning also requires the necessary rights and consent.
How should a team evaluate Eleven v3?
Use a representative multilingual test set with names, numbers, emotion shifts, long sentences, dialogue, and edge cases. Score pronunciation, semantic accuracy, artifacts, latency, retake rate, cost, and listener preference by voice and language.
Bottom line
Our Eleven v3 verdict
Eleven v3 is one of the strongest choices when synthetic speech must perform, not merely read. Its tags, dialogue, and language range give directors and developers meaningful creative leverage. That leverage comes with retakes, shorter requests, evolving preview-era behavior, and serious identity-rights obligations. Use it where emotion justifies the extra QA; choose a more stable or lower-latency ElevenLabs model when consistency and throughput matter more.
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