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Qwen/Qwen3-TTS-Flash

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.

Alibaba (Cloud) Audio Up to ~10K characters
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api_example.sh

curl -X POST "https://platform.qubrid.com/api/v1/qubridai/audio/transcribe" \
  -H "Authorization: Bearer QUBRID_API_KEY" \
  -F "model=qwen3-tts-flash" \
  -F "file=@<YOUR-AUDIO-COMPLETE-PATH>"

Pricing

Pay-per-use, no commitments

Pricing Contact for pricing

Technical Specifications

Model Architecture & Performance

Variant Flash
Model Size Multi-billion parameters (approx.)
Context Length Up to ~10K characters
Quantization fp16 / bf16
Tokens/sec 0
Architecture Neural TTS with transformer-based acoustic modeling and vocoder
Precision fp16 / bf16
License Apache 2.0 (placeholder)
Release Date 2025
Developers Alibaba Cloud (QwenLM)

API Reference

Complete parameter documentation

Parameter Type Default Description
voice select Cherry Select the speaker voice for synthesis.
language_type select Auto Language hint for the TTS request.

Explore the full request and response schema in our external API documentation

Performance

Strengths & considerations

Strengths Considerations
Multiple high-quality voices
Multilingual support
Low latency synthesis
Configurable speed and pitch
Expressiveness is constrained by predefined styles
May mispronounce rare names or niche jargon

Use cases

Recommended applications for this model

Product tutorials and onboarding voiceovers generated from documentation or scripts
Voice-enabling chatbots and virtual assistants for a more engaging UX
Generating narration for marketing videos, explainers, and social content
Accessibility features such as screen-reading and audio summaries of long text
Educational content, audiobooks, and podcast-like experiences generated from text

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Get deployment recipes, benchmark alerts, and GPU pricing updates for Qwen/Qwen3-TTS-Flash (Qwen3 Tts Flash) and other audio models straight from the Qubrid team.

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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