per character
ResembleAI/chatterbox-turbo
deepinfra/ResembleAI/chatterbox-turbo
Chatterbox is a family of three state-of-the-art, open-source text-to-speech models by Resemble AI. We are excited to introduce Chatterbox-Turbo, our most efficient model yet. Built on a streamlined 350M parameter architecture, Turbo delivers high-quality speech with less compute and VRAM than our previous models. We have also distilled the speech-token-to-mel decoder, previously a bottleneck, reducing generation from 10 steps to just one, while retaining high-fidelity audio output. Paralinguistic tags are now native to the Turbo model, allowing you to use [cough], [laugh], [chuckle], and more to add distinct realism. While Turbo was built primarily for low-latency voice agents, it excels at narration and creative workflows. If you like the model but need to scale or tune it for higher accuracy, check out our competitively priced TTS service (link).
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-turbo. 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-turbo","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-turbo",
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-turbo", "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())