elevenlabs
ElevenLabs: Eleven Turbo v2
elevenlabs/eleven-turbo-v2
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Eleven Turbo v2 is a text-to-speech model from ElevenLabs listed in the OpenRouter catalog under the identifier elevenlabs/eleven-turbo-v2. According to that catalog entry, it is an English-only, low-latency model aimed at developer use cases where speed matters and only English output is needed. The catalog describes a text-in, speech-out modality and references a 30,000-character limit, though the description text is truncated. No independent model card or measured performance data was available in this source pack, so all capability claims rest on the catalog listing alone.[1]
Strengths
- The OpenRouter catalog describes it as low-latency, positioning it for applications where speech generation speed is a priority.[1]
- It is explicitly framed by the catalog for developer use cases, suggesting it is intended for integration into software products and services.[1]
- The catalog references a 30,000-character limit, which may support longer text passages per request than typical short-form synthesis calls.[1]
Limitations
- The catalog states the model is English-only, so it is not a fit for multilingual or non-English speech generation.[1]
- Evidence is catalog-only: no independent model card, benchmarks, or third-party evaluations were included in this source pack, so claims are unverified.[1]
- The catalog description is truncated, and real-world latency, audio quality, and reliability should be validated against the target workload before adoption.[1]
Where to use it
- Potentially suitable for latency-sensitive English voice interfaces such as conversational agents or interactive apps, pending testing on the actual workload.[1]
- A reasonable candidate for prototyping developer-facing English speech features where speed matters more than language coverage.[1]
- May fit English narration or reading of longer texts, given the referenced 30,000-character limit, though quality should be evaluated first.[1]
Sources
- [1] OpenRouter catalog · ElevenLabs: Eleven Turbo v2Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Eleven Turbo v2 is an English-only, low-latency text-to-speech model from ElevenLabs. It is suited for developer use cases where speed matters and only English is needed, and has a 30,000-character...
Specifications
- Model ID
- elevenlabs/eleven-turbo-v2
- Canonical ID
- elevenlabs/eleven-turbo-v2-20260930
- 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 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.