elevenlabs
ElevenLabs: Eleven v3 Conversational
elevenlabs/eleven-v3-conversational
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Eleven v3 Conversational is a text-to-speech model from ElevenLabs, listed in the OpenRouter catalog as a variant of Eleven v3 tuned for natural dialogue in conversational agents. According to the catalog, it accepts text input, produces speech output, supports more than 70 languages, and limits requests to 5,000 characters. The entry shows prompt-based pricing and no reasoning features, benchmark results, or supported tuning parameters. An independent model card was not available in this source pack, so these claims come solely from the OpenRouter listing.[1]
Strengths
Limitations
- The catalog reports a 5,000-character request cap, so longer scripts would need to be split across calls.[1]
- Evidence is catalog-only: no independent model card, benchmark results, or audio evaluations were provided, so voice quality, latency, and real language coverage should be validated on your workload.[1]
Where to use it
- Conversational voice agents and chatbots needing natural-sounding spoken replies, pending validation of latency and voice fit.[1]
- Multilingual assistants or IVR-style prompts, given the reported 70+ language support; test each target language before rollout.[1]
- Short-to-medium spoken responses that fit within the reported 5,000-character request limit.[1]
Sources
- [1] OpenRouter catalog · ElevenLabs: Eleven v3 ConversationalSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Eleven v3 Conversational is a text-to-speech model from ElevenLabs, a variant of Eleven v3 optimized for natural dialogue in conversational agents. It supports 70+ languages and has a 5,000-character request...
Specifications
- Model ID
- elevenlabs/eleven-v3-conversational
- Canonical ID
- elevenlabs/eleven-v3-conversational-20260930
- Creator
- elevenlabs
- Added to OpenRouter
- 07.10.2026
- Context length
- 0
- Modality
- text->speech
- Input modalities
- text
- Output modalities
- speech
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| ElevenLabs | 0 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.