Eleven v3 Conversational
ElevenLabs
- Released
- -
- Data date
- September 24, 2026
- Model class
- Languages
- Access
Eleven v3 Conversational targets voice agents that need more than plain text read aloud. It generates expressive, context-aware speech through ElevenLabs’ Text to Dialogue WebSocket and supports more than 70 languages. ElevenLabs puts model latency at about 280 ms, excluding application and network time.
Compared with Eleven v3, Eleven v3 Conversational focuses more clearly on the real-time conversation path. That matters when an agent has to answer naturally instead of rendering a long passage. The 280 ms figure covers the model only. Your agent, network, and application still add their own time.
Profile
Specifications and access
Published information about this model. Existing estimates are explicitly labeled.
| Specification | Value and source |
|---|---|
| Model class | Real-time speech modelSource |
| Access | APISource |
| API model ID | eleven_v3_conversationalSource |
| Input | TextSource |
| Output | AudioSource |
| Task | Conversational speech generationSource |
| Supported details | For conversational voice agentsSource |
| Latency | About 280 ms according to ElevenLabs, excluding app and network latencySource |
| Languages | Over 70 languagesSource |
Popularity
Popularity
31 / 100
Evidence
Sources and data date
Every statement links to its underlying documentation or leaderboard.
| Type | Evidence and data date |
|---|---|
| Additional source | ElevenLabs model documentation (retrieved September 24, 2026) · ElevenLabs Models documentation · Editorial description reviewed October 2, 2026 |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Creative Commons Attribution 4.0 |