Primary use stated or inferred cautiously from official documentation.
11
ELEVENLABS / eleven_v3
Eleven v3
Expressive text-to-speech model with emotional tags, multi-speaker dialogue, and support for more than 70 languages.
01 / SUMMARY
The essential
Maximum input capacity when published by the source.
Documented maximum generation limit.
Verified availability channels.
Primary functional family and verified specialties.
Declared terms for API access, model weights, or self-hosting.
02 / TECHNICAL SHEET
Limits and integration
| API ID | eleven_v3 |
|---|---|
| Model type | Voice and audio |
| Access model | Paid proprietary |
| License | Proprietary |
| Deployment | Hosted API |
| Release | 2025 |
| Knowledge cutoff | Not published |
| Entrance | Text |
| Exit | Audio · Multi-speaker dialogue |
| Context window | 5,000 characters per request |
| maximum output | Audio |
| Reasoning | Not applicable or not published |
| Published tools | |
| Structured Outings | Not applicable or not published |
| Batch processing | Not published |
| Prompt cache | Not published |
| Fine-tuning | Not published |
| Verified platforms | ElevenLabs API |
Narration, audiobooks, characters, and creative dialogue.
It is not the lowest-latency option; test stability, pronunciation, consent, and voice rights.
03 / CAPABILITIES
What it can do
Orientation
Narration, audiobooks, characters, and creative dialogue.
Context
5,000 characters per request · Audio
Tools and integration
Not published
Access
ElevenLabs API
Input modalities
Text
04 / PRICES
Documented cost
| Concept | Worth | Unit/condition |
|---|---|---|
| Standard input | Not published | Standard API rate |
| Cached input | Not published | Reading reused prefixes |
| Cache write or storage | Not published | The condition varies by provider |
| Standard output | Not published | May include reasoning tokens |
| Batch input | Not published | Asynchronous processing |
| Batch output | Not published | Asynchronous processing |
Consult the primary source: the billing unit depends on the model type and access channel.
i Prices change and may depend on level, region or context length. Check the source before making a decision.
05 / EVALUATIONS
How to read the results
“
A public benchmark provides guidance, but does not replace an evaluation with your data, tools, budget, and error tolerance.
| Benchmark | Result | Metric | Source |
|---|---|---|---|
| Evaluación Eleven v3 | 70+ languages | Published coverage and expressiveness | View source ↗ |
Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.
06 / VERSIONS
Chronology
Eleven v3
Version added to Inferama's verified catalog.
ANALYSIS
Related analysis
Eleven v3 for Multilingual Localization: What Can Be Claimed and What Must Be Tested
The materials provided associate Eleven v3 with multilingual voice generation, but they are not enough to verify a specific language count or the quality of a localization. We review what the available sources support and suggest checks to run before adding it to production.
29 Sep 2026 ↗
How to Evaluate Eleven v3: Audio Tags, Stability, and Voice Consistency
A protocol for checking, with controlled voices and scripts, whether a delivery cue changes an interpretation without harming text fidelity, vocal identity, or repeatability. The available documentation is not sufficient to confirm the specific Eleven v3 tags here, so the first step is to verify what the access method being tested supports.
28 Sep 2026 ↗
DeepSeek V4.1 Flash + Eleven v3 vs. full-duplex voice: how to compare the architectures
A modular chain built from speech recognition, DeepSeek V4.1 Flash, and Eleven v3 is not equivalent to a full-duplex voice model. This guide proposes comparing both systems end to end, without declaring a winner based on isolated specifications.
26 Sep 2026 ↗
Voxtral TTS: what a team should validate before replacing a synthetic voice in production
Mistral AI documents Voxtral TTS as a speech-generation service with streaming and several output formats. Before replacing a provider or model in calls, notifications, or published content, a team should verify not only audible quality, but also technical, operational, and data-contract compatibility through a regression suite using its own scripts.
22 Sep 2026 ↗
ElevenLabs: How to Separate the Model, Voice, Access Channel, and Data Retention Before Taking Generative Audio to Production
Adopting ElevenLabs for generative audio is not a single decision: every workflow combines a model, a voice asset, a processing channel, and a different retention regime. This guide provides an operational matrix for documenting them, limiting assumptions, and preparing verifiable migrations, access controls, and deletions.
22 Sep 2026 ↗
Synthetic Voices in Production: How to Demonstrate Consent, Control Likeness, and Remove a Voice Without Losing Traceability
Using a synthetic voice responsibly requires more than a checkbox or a convincing demo. This guide proposes an operating system for linking each audio asset to a specific authorization, controlling the risk of resemblance to identifiable people, disclosing its nature where appropriate, and removing assets when the terms of use change.
22 Sep 2026 ↗07 / SOURCES