per character
ResembleAI/chatterbox-multilingual
deepinfra/ResembleAI/chatterbox-multilingual
09/04 🔥 Introducing Chatterbox Multilingual in 23 Languages! We're excited to introduce Chatterbox and Chatterbox Multilingual, Resemble AI's production-grade open source TTS models. Chatterbox Multilingual supports Arabic, Danish, German, Greek, English, Spanish, Finnish, French, Hebrew, Hindi, Italian, Japanese, Korean, Malay, Dutch, Norwegian, Polish, Portuguese, Russian, Swedish, Swahili, Turkish, Chinese out of the box. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations.
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 |
|---|---|---|---|---|---|---|---|---|
| DeepInfra | — | — | Not published— | Not published— | — | — | Listed | deepinfra |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
No published price at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| character | $1/character | Not published— | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | character | $1 | Not published— | Not published— |
| 2026-10-09 | character | $1 | Not published— | Not published— |
| 2026-10-10 | character | $1 | Not published— | Not published— |
| 2026-10-11 | character | $1 | Not published— | Not published— |
| 2026-10-12 | character | $1 | Not published— | Not published— |
| 2026-10-13 | character | $1 | Not published— | Not published— |
| 2026-10-14 | character | $1 | Not published— | Not published— |
| 2026-10-15 | character | $1 | Not published— | Not published— |
| 2026-10-16 | character | $1 | Not published— | Not published— |
| 2026-10-17 | character | $1 | Not published— | Not published— |
| 2026-10-18 | character | $1 | Not published— | Not published— |
| 2026-10-19 | character | $1 | Not published— | Not published— |
| 2026-10-20 | character | $1 | Not published— | Not published— |
| 2026-10-21 | character | $1 | Not published— | Not published— |
| 2026-10-22 | character | $1 | Not published— | Not published— |
| 2026-10-23 | character | $1 | Not published— | Not published— |
| 2026-10-24 | character | $1 | Not published— | Not published— |
| 2026-10-25 | character | $1 | Not published— | Not published— |
| 2026-10-26 | character | $1 | Not published— | Not published— |
| 2026-10-27 | character | $1 | Not published— | Not published— |
| 2026-10-28 | character | $1 | Not published— | Not published— |
| 2026-10-29 | character | $1 | Not published— | Not published— |
| 2026-10-30 | character | $1 | Not published— | Not published— |
Alternatives
Parameters (1)
tts
Call this model
OpenRouter id deepinfra/ResembleAI/chatterbox-multilingual. 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":"deepinfra/ResembleAI/chatterbox-multilingual","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: "deepinfra/ResembleAI/chatterbox-multilingual",
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": "deepinfra/ResembleAI/chatterbox-multilingual", "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())