Model Marketplace

Qwen-Voice-Enrollment

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Overview

The Qwen Voice-Enrollment model is a series of voice replication models from the qwen speech model. It can quickly replicate highly similar voices using audio of only 5 seconds or more. When used in conjunction with the qwen3-tts-vc-realtime model, it can replicate a person's voice with high fidelity and output speech in 10 languages. Furthermore, the synthesized audio can adaptively adjust its tone according to the text and has good processing capabilities for complex text synthesis.

Input

Audio

Output

Text

Features

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

Asynchronously process requests in batches to reduce costs.View docs

Web Search

Enable web search so the model can answer with real-time retrieved data.View docs

Fine-tuning

Train models on sample data to better adapt them to specific tasks.View docs

Pricing

  • TTS
    $0.01Per voice

Rate Limits

  • RPMRequests Per Minute
    180