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Flash v2.5 (TTS)
ElevenLabs · text-to-speech-flash-2-5
Ultra-fast ElevenLabs model: ~75 ms latency, 32 languages, up to 40,000 characters per request, at half the multilingual price.
Starting price
10,528
per 1K characters
Billing
Pay as you go
Service status
Active
About Flash v2.5 (TTS)
Ultra-fast ElevenLabs model: ~75 ms latency, 32 languages, up to 40,000 characters per request, at half the multilingual price.
Flash v2.5 (TTS) pricing
Billed on the characters of the input text
| Quantity | Price |
|---|---|
| per 1K characters(default) | 10,528 |
| per 1M characters | 10,528,000 |
One rate per unit — no separate input, output, cache or token charges.
Model id
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Sample code and API for Flash v2.5 (TTS)
Point the base URL at CupAI and use your own API key; the rest of the request stays exactly as it is in any compatible client.
View the model documentationcurl 'https://api.cupai.ir/v1/audio/speech' \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer $CUPAI_API_KEY' \
-d '{
"model": "text-to-speech-flash-2-5",
"input": "Hello!",
"voice": "alloy"
}'Replace CUPAI_API_KEY with your own key.
Create an API key
Capabilities
Capabilities supported by this model's API.
text-to-audio
Frequently asked questions about Flash v2.5 (TTS)
- How is using Flash v2.5 (TTS) charged?
- This model is billed by the characters of the text you send, not by tokens: one rate per thousand characters, with no separate output or cache charges. The rate is in the price table on this page and is deducted from your wallet.
- How do I connect to Flash v2.5 (TTS)?
- Point the base URL at CupAI, put your API key in the request header, and send the model id in the request body. Ready-made samples are on this page.
- How do payments work?
- Payments are in Toman and need no foreign credit card. Credit you buy can be spent on any available model.
Other models
How model pricing works
Every AI model strikes a different balance between speed, answer quality and cost. Flagship models suit complex reasoning, long-document analysis and precise code generation, while lighter models cost considerably less for summarising, classification and short answers. The list above shows each model's rate broken down by input token, output token and cache, so you can estimate the cost of your workload before you start.
A token is the smallest unit of text a model processes; roughly speaking a thousand tokens is about 750 English words. The cost of a request is the sum of its input and output tokens, so shortening your prompt and capping the response length reduces cost directly. Some models have a second price tier for very long inputs, which reprices the entire request once it crosses a stated threshold.