ElevenLabs Turbo v2.5 is a balanced text-to-speech model optimized for medium-latency narration and podcast workflows. Developers should reach for it when they need a reliable trade-off between generation speed, audio quality, and cost.
Modalities
Text → Audio
Price
$0.2025 / 1K char
Context
5K
Usage
How much this model is actually called here.
Rank
#92
of 98 active models
Tokens served
56
all-time
Platform share
0.0%
of all tokens
Two clocks, and why they disagree
Kyma measures this model twice. Both are real; they answer different questions.
Probe · every 6h · 30 days
1.15s to answer
One fixed prompt, on a schedule, to every model. Comparable, because the model is the only thing that changes.
- Observations
- 2
- Answered by a substitute
- 0
Real traffic · last 7 days
0.11s to answer
Your requests, at the lengths clients actually send. Not comparable between models, but it is what running this one feels like.
- Requests
- 22
- Completed
- 45.5%
- p95
- 0.4 s
Production prompts here are shorter than the probe's. Use the probe figure to choose between models, the traffic figure to budget for your own.
Pricing
Per 1,000 characters of input text. Billed on successful synthesis.
$0.2025 / 1K charWhen to use ElevenLabs Turbo v2.5
Where this model earns its cost — and where it doesn't.
This model converts text input into audio output across 32 languages. It operates as a fast, cheap-tier model with strong audio quality, delivering quicker generation than the Multilingual variant while maintaining higher fidelity than the Flash variant.
On Kyma, the model runs through an OpenAI-compatible endpoint using a single API key. It supports prompt caching, which bills repeated prompt prefixes at this model's cached input rate. Every request receives automatic failover, and responses return exact billing data in usage.cost alongside an X-Kyma-Model header to confirm routing.
The model accepts a 5000-token context window and is strictly designed for speech generation. It does not support reasoning, vision, structured outputs, or multimodal inputs, and it will not handle complex logical tasks or data extraction.
Podcast narration generation
Produces consistent voiceovers for long-form audio content with balanced latency.
Multilingual audiobook creation
Converts text to speech across 32 supported languages without sacrificing audio clarity.
Interactive voice applications
Delivers fast audio responses for conversational agents where moderate latency is acceptable.
E-learning module voiceovers
Generates clear instructional audio at a lower cost than premium TTS alternatives.
Not ideal for: Do not use this model for real-time conversational voice agents requiring sub-100ms latency or for tasks requiring structured data extraction and logical reasoning.
Quick start
Up and running in under two minutes.
- 1
Create an API key
Sign up and grab a key from the dashboard. ElevenLabs Turbo v2.5 needs a top-up — the signup credit covers the free tier.
Get API key → - 2
Make your first request
Drop in your key and send a chat completion — fully OpenAI-compatible.
curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "eleven-turbo-v2-5", "messages": [ {"role": "user", "content": "Explain prompt caching in one paragraph."} ] }' - 3
Stream responses
Add
"stream": trueto receive tokens as they arrive.curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "eleven-turbo-v2-5", "stream": true, "messages": [{"role": "user", "content": "Hello!"}] }'
FAQ
Common questions about this model.
How much does ElevenLabs Turbo v2.5 cost?
How do I use ElevenLabs Turbo v2.5?
Does this model support prompt caching on Kyma?
Can I use this model for structured outputs or reasoning tasks?
How do I verify which model actually processed my request?
More models by ElevenLabs
| Model | Context | Input | Output |
|---|---|---|---|
ElevenLabs Flash v2.5 | — | $0.2025 / 1K char | |
ElevenLabs Multilingual v2 | — | $0.405 / 1K char | |
