Qwen/Qwen3-TTS

deepinfra/Qwen/Qwen3-TTS

audioContext —

Qwen3-TTS is an advanced text-to-speech model by Alibaba's Qwen team, delivering stable, expressive, and low-latency speech generation across 10 languages. Key capabilities: - 9 preset voices — Vivian, Serena, Uncle_Fu, Dylan, Eric, Ryan, Aiden, Ono_Anna, Sohee — covering diverse genders, ages, and accents - Voice cloning — clone any voice from a short (~3s) audio sample via the voice_id parameter - Instruction control — adjust tone, emotion, and speaking style with natural language (e.g. "speak slowly and calmly", "excited tone") - 10 languages — English, Chinese, Japanese, Korean, German, French, Russian, Spanish, Italian, Portuguese - Streaming support — real-time PCM streaming with ~97ms first-byte latency - Multiple output formats — WAV, MP3, FLAC, PCM Built on a 1.7B parameter architecture using discrete multi-codebook language modeling for end-to-end speech synthesis without cascading errors. Uses a custom 12Hz acoustic tokenizer that preserves paralinguistic information and environmental audio details.

Price

Price$20

per character

Compare this model

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.

Input tokens Output tokens Units

No published price at list price for this workload

Every rate

Unit	Input	Output	Flat	Confidence
character	$20/character	Not published—	Not published—	official

Price history

Qwen/Qwen3-TTS

input or flat output

Daily snapshots

UTC date	Unit	Input	Output	Flat
2026-10-08	character	$20	Not published—	Not published—
2026-10-09	character	$20	Not published—	Not published—
2026-10-10	character	$20	Not published—	Not published—
2026-10-11	character	$20	Not published—	Not published—
2026-10-12	character	$20	Not published—	Not published—
2026-10-13	character	$20	Not published—	Not published—
2026-10-14	character	$20	Not published—	Not published—
2026-10-15	character	$20	Not published—	Not published—
2026-10-16	character	$20	Not published—	Not published—
2026-10-17	character	$20	Not published—	Not published—
2026-10-18	character	$20	Not published—	Not published—
2026-10-19	character	$20	Not published—	Not published—
2026-10-20	character	$20	Not published—	Not published—
2026-10-21	character	$20	Not published—	Not published—
2026-10-22	character	$20	Not published—	Not published—
2026-10-23	character	$20	Not published—	Not published—
2026-10-24	character	$20	Not published—	Not published—
2026-10-25	character	$20	Not published—	Not published—
2026-10-26	character	$20	Not published—	Not published—
2026-10-27	character	$20	Not published—	Not published—
2026-10-28	character	$20	Not published—	Not published—
2026-10-29	character	$20	Not published—	Not published—
2026-10-30	character	$20	Not published—	Not published—

Alternatives

bosonai/HiggsAudioV2.5$20/character · Compare
Qwen/Qwen3-TTS-VoiceDesign$20/character · Compare
inworld-ai/realtime-tts-1.5-mini$25/character · Compare
Orpheus 3B 0.1 FT$15/1M · Compare
sesame/csm-1b$7/character · Compare
Audio8/Audio8-TTS-Preview-0.6b$5/character · Compare

Parameters (1)

tts

Call this model

OpenRouter id deepinfra/Qwen/Qwen3-TTS. 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/Qwen/Qwen3-TTS","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/Qwen/Qwen3-TTS",
    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/Qwen/Qwen3-TTS", "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())

JSON · History JSON