elevenlabs
ElevenLabs: Eleven Turbo v2.5
elevenlabs/eleven-turbo-v2.5
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, Eleven Turbo v2.5 is an ElevenLabs text-to-speech model positioned for low-latency generation. The listing reports support for 32 languages and a design that balances quality and speed for developer use cases involving non-English languages. Because the supplied evidence is catalog-only and includes no independent model card or measurements, these capabilities should be treated as source-reported rather than verified performance.[1]
Strengths
Limitations
- Evidence is limited to the OpenRouter catalog; no independent model card was available in this source pack.[1]
- No benchmark entries or measured latency, quality, or reliability results are included, so real-world performance remains unverified.[1]
- The catalog excerpt mentions a 40,000-character detail but is truncated and lists no supported parameters, leaving request limits and controls unclear.[1]
Where to use it
Sources
- [1] OpenRouter catalog · ElevenLabs: Eleven Turbo v2.5Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Eleven Turbo v2.5 is a low-latency text-to-speech model from ElevenLabs. It balances quality and speed for developer use cases that need non-English languages, supports 32 languages, and has a 40,000-character...
Specifications
- Model ID
- elevenlabs/eleven-turbo-v2.5
- Canonical ID
- elevenlabs/eleven-turbo-v2.5-20260930
- 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.