Qwen3 TTS Flash

Qwen3 TTS Flash API

Released 2025Up to ~10K characters contextMulti-billion parameters (approx.) parameters

Documentation

Qwen3-TTS-Flash is a fast, high-quality text-to-speech model supporting multiple voices, languages, and expressive speaking styles. It is ideal for real-time applications and interactive experiences. Typical use cases include Product tutorials and onboarding voiceovers generated from documentation or scripts, Voice-enabling chatbots and virtual assistants for a more engaging UX, and Generating narration for marketing videos, explainers, and social content. Standout strengths include Multiple high-quality voices and Multilingual support. It works well for low-latency voice generation, conversational interfaces, and scalable speech synthesis in customer-facing applications.

import requests import json url = "https://platform.qubrid.com/api/v1/qubridai/audio/transcribe" headers = { "Authorization": "Bearer QUBRID_API_KEY" } files = {"file": open("audio.wav", "rb")} data = {"model": "qwen3-tts-flash"} response = requests.post(url, headers=headers, files=files, data=data) print(response.json())

Serverless

API access

INPUTN/A
OUTPUTN/A
Deploy using API

Dedicated

Cloud GPU VM

Price starts at$1.25 / GPU/ hr
Deploy with GPU VM

Interactive

Playground

INPUTN/A
OUTPUTN/A
Chat in Playground

Enterprise
Platform Integration

Docker

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

SDK Libraries

Official SDKs for Python, Javascript, Go, and Java

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