per 1000 characters
ElevenLabs TTS Multilingual v2
fal/fal-ai/elevenlabs/tts/multilingual-v2
Generate multilingual text-to-speech audio using ElevenLabs TTS Multilingual v2.
Price
Providers
Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.
| Provider | Tag | Quant | Input | Output | Context | Uptime | Status | Source |
|---|---|---|---|---|---|---|---|---|
| fal | — | — | Not published— | Not published— | — | — | Listed | fal |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$100 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| 1000_characters | Not published— | Not published— | $0.1/1000 characters | official |
Price history
input or flat output
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | 1000 characters | Not published— | Not published— | $0.1 |
| 2026-10-09 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-10 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-11 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-12 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-13 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-14 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-15 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-16 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-17 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-18 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-19 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-20 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-21 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-22 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-23 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-24 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-25 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-26 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-27 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-28 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-29 | 1000_characters | Not published— | Not published— | $0.1 |
| 2026-10-30 | 1000_characters | Not published— | Not published— | $0.1 |
Alternatives
- Elevenlabs Tts Eleven V3$0.1/1000 characters · Compare
- Google: Gemini 2.5 Flash Lite$0.1/1M · Compare
- Google: Gemini 2.5 Flash Lite$0.1/1M · Compare
- Google: Gemini Embedding 2 (batch)$0.1/1M · Compare
- MiniMax Speech 2.8 [HD]$0.1/1000 characters · Compare
- MiniMax Speech-02 HD$0.1/1000 characters · Compare
Call this model
OpenRouter id fal/fal-ai/elevenlabs/tts/multilingual-v2. InferenceList does not send the request.
curl
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"fal/fal-ai/elevenlabs/tts/multilingual-v2","messages":[{"role":"user","content":"Hello"}]}'
JavaScript
await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "fal/fal-ai/elevenlabs/tts/multilingual-v2",
messages: [{ role: "user", content: "Hello" }],
}),
});
Python
import os, json, urllib.request
req = urllib.request.Request(
"https://openrouter.ai/api/v1/chat/completions",
data=json.dumps({"model": "fal/fal-ai/elevenlabs/tts/multilingual-v2", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())