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Eleven v3 (TTS)

⁦ElevenLabs⁩ · ⁦text-to-speech-v3⁩

Human-like, expressive speech in 70+ languages with audio tags; up to 5,000 characters per request.

Text → AudioInput/output type

Starting price

21,056

per 1K characters

Billing

Pay as you go

Service status

Active

About Eleven v3 (TTS)

Human-like, expressive speech in 70+ languages with audio tags; up to 5,000 characters per request.

Eleven v3 (TTS) pricing

Billed on the characters of the input text

QuantityPrice
per 1K characters(default)
⁦21,056⁩
per 1M characters
⁦21,056,000⁩

One rate per unit — no separate input, output, cache or token charges.

Model id

text-to-speech-v3

Provider

ElevenLabs

Inputs

Text

Outputs

Audio

Billing basis

Characters of input text

Status

Active

Share model

https://cupai.ir/en/models/text-to-speech-v3

Sample code and API for Eleven v3 (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 documentation
curl 'https://api.cupai.ir/v1/audio/speech' \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer $CUPAI_API_KEY' \
  -d '{
    "model": "text-to-speech-v3",
    "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 Eleven v3 (TTS)

How is using Eleven v3 (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 Eleven v3 (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.