Model provider7 models

ElevenLabs

ElevenLabs serves 7 audio models on LLM API, all from ElevenLabs.

Models and prices

Prices when ElevenLabs serves the request.

Audio 7

Price per minute of audio or per 1K characters

Sort

Audio models on ElevenLabs and their prices on LLM API

Eleven v4 Turbo`eleven_v4_turbo`	Text to speech	$0.04/ 1K characters
Eleven v4`eleven_v4`	Text to speech	$0.08/ 1K characters
ElevenLabs Scribe v2`scribe_v2`	Transcription	$0.0037/ minute
Eleven v3`eleven_v3`	Text to speech	$0.08/ 1K characters
ElevenLabs Scribe v1`scribe_v1`	Transcription	$0.0037/ minute
Eleven Flash v2.5`eleven_flash_v2_5`	Text to speech	$0.04/ 1K characters
Eleven Multilingual v2`eleven_multilingual_v2`	Text to speech	$0.08/ 1K characters

Send requests to ElevenLabs

Use the model ID as it is: video, audio and embedding requests take no provider prefix.

Example: Eleven v4 Turbo

POST /v1/audio/speechSet LLMAPI_KEY to your LLM API key.Speech docs

import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.llmapi.ai/v1",
    api_key=os.environ["LLMAPI_KEY"],
)

speech = client.audio.speech.create(
    model="eleven_v4_turbo",
    voice="CwhRBWXzGAHq8TQ4Fs17",
    input="Hello from LLM API",
)
speech.write_to_file("hello.mp3")

import fs from "node:fs";
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.llmapi.ai/v1",
  apiKey: process.env.LLMAPI_KEY,
});

const speech = await client.audio.speech.create({
  model: "eleven_v4_turbo",
  voice: "CwhRBWXzGAHq8TQ4Fs17",
  input: "Hello from LLM API",
});
fs.writeFileSync("hello.mp3", Buffer.from(await speech.arrayBuffer()));

curl https://api.llmapi.ai/v1/audio/speech \
  -H "Authorization: Bearer $LLMAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "eleven_v4_turbo",
    "voice": "CwhRBWXzGAHq8TQ4Fs17",
    "input": "Hello from LLM API"
  }' \
  --fail-with-body --output hello.mp3

Prices synced October 27, 2026.